[Purposes] Scientific papers published at home and abroad by Chinese researchers are analyzed to provide decision-making support for management personnel at all levels. [Methods] Based on important databases, such as Science Citation Index, Engineering Index, Conference Proceedings Citation Index-Science, Social Science Citation Index, and Chinese Scientific and Technical Papers and Citations Database, the number of Chinese excellent scientific papers, scientific papers, discipline and region distribution, papers of fund projects, international coauthored papers, and Chinese social science papers were studied and analyzed. [Findings] The number of excellent scientific papers in China were 695.9 thousand in 2023, up 16.8% from 2022. According to SCI, Chinese authors have produced about 740.8 thousand papers indexed by SCI in 2023. Chinese papers were cited 80.69 million times from 2014 to August 2024, increasing 19.6% compared with that in 2023. China ranked the second. On average, Chinse papers were cited 16.20 times per paper, increased by 6.7% compared with that in 2023, exceeding the world average by 15.76 times per article for the first time. [Conclusions] The number of Chinese scientific papers and the improvement of paper impact have increased rapidly in recent years.
This study aims to provide practical guidelines for management departments and the academic publishing industry to prevent integrity and ethical issues arising from the use of artificial intelligence generated content (AIGC) technology, purify the academic publishing environment, and promote the high-quality development of scientific research.
We used literature review and network research methods to examine the current state of research on AIGC technology both domestically and internationally. We investigated and analyzed the policies or guidelines on AIGC usage from publishers, international organizations, and other institutions to design a framework for AIGC usage in academic publishing.
Currently, publishers and organizations have established policies regarding the use of AIGC technology for authors, editors, and reviewers. While the content is relatively comprehensive, there is no complete consensus on the specific details.
We propose designing a framework for the use of AIGC in academic publishing based on the principles of transparency and accountability, quality and integrity, privacy and security, fairness, and sustainability. This framework will cover the essential stages of academic publishing, including research and writing, submission, and post-publication.
[Purposes] This study aims to explore the impacts and challenges of artificial intelligence generated content (AIGC) on the academic journal publishing field, and analyze the consensus and strategies of the academic journal publishing field to deal with AIGC, so as to promote the reasonable application of AIGC in the academic journal publishing field. [Methods] Starting from the logic of “policy norms-risks and challenges-countermeasures and suggestions”, we investigated and analyzed the policy norms of domestic and foreign academic journal publishers on AIGC, formed the attitude tendency to deal with AIGC around the whole publishing process of academic journal, analyzed the unresolved risks and challenges, and put forward countermeasure suggestions. [Findings] The overall attitude of domestic and foreign academic journal publishers towards AIGC tends to be conservative and prudent. Although a certain consensus has been reached, there are still some problems such as weak consistency of academic norms, difficulty in reviewing academic quality, high risk of data security, and disputes over copyright protection when using AIGC. [Conclusions] The academic journal publishing field should actively embrace the technological changes brought by AIGC, promote the establishment of consensus academic publishing norms, strengthen content review, carry out AIGC detection with tools, strengthen the training on the boundaries of the use of AIGC, and guide the reasonable, transparent, and responsible use of AIGC, so as to realize the intelligent change and sustainable development of academic publishing.
[Purposes] To explore the application capabilities of four large language models (LLMs) in key information extraction and summarization of medical papers, providing empirical references for the technical pathways of knowledge services in STM journals. [Methods] One hundred research articles published in National Medical Journal of China were selected randomly.Using prompt engineering, ChatGPT 4o, Kimi, ChatGLM 4.0, and iFLYTEK Spark were employed to extract information in JSON format from the papers. The LLMs’ abilities in knowledge extraction, text comprehension, and summarization were evaluated.[Findings] All models returned accurate JSON-format data successfully, demonstrating high accuracy in extracting information such as study sample, sample size, disease, research type, discipline, and keywords. The models also performed well in summary generation, though their understanding of research methods was suboptimal. [Conclusions] The study indicates that LLMs possess strong capabilities in text comprehension, knowledge extraction, and summarization, but certain shortcomings remain. Overcoming these technical challenges could enable GenAI to play a significant role in STM journal dissemination, knowledge services, and decision-making support in vertical domains.
This study aims to scientifically and accurately identify and predict the characteristics of retracted papers, better correct scientific misconduct, reduce academic fraud, and protect the integrity of science.
We collected data and information related to questioned papers from the PubPeer platform. After data processing and screening, a dataset of 1792 retracted papers with complete data was established. The natural and comment attributes of these retracted papers were analyzed, and a PubCancel model was developed to identify the features and assess the accuracy of the retracted papers.
The PubCancel model developed in this study accurately and effectively identifies the retracted papers, with an accuracy rate of 98.24%. This method has significant practical implications for evaluating paper quality and provides researchers with a fast way to assess paper credibility.
Studying the situation of retracted papers in questioned papers on the PubPeer platform is of great significance for academic warning research. The application of the feature recognition model of retracted papers can assist journals and editors in detecting abnormal papers promptly, standardizing paper publication processes, and promptly retracting problematic papers, thereby enhancing the integrity of scientific research.
[Purposes] This paper aims to summarize the attitudes of international research institutions toward preprints and the key points of their preprint policies, providing reference and guidance for Chinese research institutions in formulating their preprint policies. [Methods] Research institutions were selected based on their academic influence and international recognition, as measured by the Nature Index and QS world university rankings, along with the criterion of having officially issued preprint-related policies, resulting in a final sample of 19 international research institutions, whose attitudes toward preprints and key policy points were analyzed and summarized. [Findings] The majority of international research institutions acknowledge and encourage preprint-based academic exchanges. They have established specific regulations and guidelines concerning preprint citation, storage, release, review and publication. [Conclusions] In formulating preprint policies, Chinese research institutions should fully recognize the evolving concept of preprints, establish clear policy guidance to enhance researchers' acceptance and use of preprints, actively support the development of peer review mechanisms for preprints, and promote the integration of preprint communication with journal publication.
[Purposes] To study the effects of Chinese scientific journals international communication. [Methods] The “international external citation proportion” was used to analyse the “most international influence academic journals of China(Natural Science)” and the “excellent international influence academic journals of China(Natural Science)” evaluted by the Annual Report for International Citation of Chinese Academic Journals(Natural Science)(2023).[Findings] The international external citation proportion of “most international influence academic journals of China(Natural Science)” and “excellent international influence academic journals of China(Natural Science)” were 3.95% and 2.66%,respectively. The international external citation proportion of two kinds of journal was very low, and there were no significant difference between two kinds of journal(P=0.189). [Conclusions] The effects of English content in Chinese scientific papers is very limited in international communication, and Chinese scientific journals need to choose the English content of the paper according to their orientation.
[Purposes] This article aims to analyse the construction and development model of journal group of the “AME Publishing Company (AME)”, hoping to provide a reference for the clusterization, internationalization development and knowledge service platform construction of English journals in China. [Methods] 63 English medical scientific and technical journals of AME were referred to as research objects. The data on journal publication, publishing cooperation, editorial board construction, database inclusion, digitalization construction, etc., were collected. Additionally, the publication mode, clustered development, experience, and lesson of AME were analyzed and summarized by bibliometrics method. [Findings] By focusing on multidisciplinary collaboration, keeping abreast with the trends in medical fields, consolidating digital platforms, improving publishing service, and building the journals from strength to strength, AME has established a certain level of influence and recognition in the medical academic publishing field and formed a certain brand effect. AME has become a significant force in the academic publishing field. But there was still room for improvement in the evaluation and supervision for the operation of journals. [Conclusions] A relatively complete profile of journals and a mature and professional operation system have been created by the AME Publishing Company. Furthermore, this publisher has built a mature and sustainable English journal incubation platform.
[Purposes] Comprehensively analyze the policy texts of research data ethics governance under the perspectives of scientific research integrity governance, scientific data management, and scholarly publication management, and construct a framework of research data ethics governance, so as to provide references for the systematic governance of scientific research data ethics, as well as the construction of the policy system. [Methods] This paper mainly adopts literature research method, policy text analysis method and case analysis method to sort out the current research and practice status of scientific research data ethical governance. Collect texts on research data ethics governance policies of international organizations, government agencies, funding agencies, academic associations, publishing institutions and research and education institutions, and select typical cases. Focusing on “ethical governance of scientific research data” as the core category, we encode policy texts with the Grounded theory and to construct the conceptual framework by detailed analyzing the meaning and relationship of the main categories and sub-categories contained in the conceptual framework. [Findings] After text mining, 24 sub-categories were initially analyzed, and after generalization and merging, five main categories including stakeholders, governance objects, governance contents, governance means and governance benefits were formed. Finally, around the core category of “ethical governance of scientific research data”, we clarify the types of data entities and their related ethical issues, and construct a framework of ethical governance of scientific research data that is demand-led, supported by multiple actors, and takes into account both process governance and ecological governance. [Conclusions] The study shows that the ethical governance of scientific research data is closely related to scientific research integrity, data management, academic publishing, etc., and is a systematic governance system with the participation of multiple subjects and concerted actions, and the governance content, means and benefits of governance among the governance policies of each subject are cross-fertilized. By building a framework for ethical governance of research data, it not only helps each subject to clarify its own responsibility, but also helps to build a policy community for ethical governance of research data from a global perspective.
[Purposes] This paper aims to explore the operational strategies and implementation effects of the open access (OA) journal PLOS ONE, in order to examine how to maintain openness and efficient dissemination while ensuring and enhancing the journal’s impact in an open science environment. [Methods] Through a literature review and online research, the operational strategies of PLOS ONE are explored, and two evaluation indicators, the TOP factor and the design of the PPCI (post-publication citation index), are used to analyze PLOS ONE’s openness, transparency, and journal impact at different development stages. [Findings] The study finds that PLOS ONE has significantly improved its openness, transparency, and academic impact by optimizing and improving the institutional framework for journal operations. [Conclusions] The practice of PLOS ONE demonstrates that the key to resolving the contradiction between openness and quality control in OA journals lies in further increasing openness and transparency, while reasonably controlling publication volume, and institutionalizing open peer review.
This study analyzes the opportunities and challenges that AI technology brings to scientific journals and explores the construction of an AI policy to support their high-quality development.
Based on the first principles of scientific journals, we proposed a forward-looking, positively balanced, step-wise, and actively iterative AI policy framework aimed at empowering research, adapting to future developments, promoting high-quality growth, and reinforcing research integrity.
The study suggests policy measures to support the responsible use of AI tools in research, establish normalized mechanisms for disclosing AI tool usage in research papers, implement differentiated management of AI tools in peer review, and prudently advance the detection of AI-generated content.
The study urges the establishment and implementation of policies for AI-empowered development of scientific journals, including nurturing AI literacy, developing diverse AI tools, and constructing public infrastructure to support AI empowerment.
[Purposes] To study the impact mechanism and development strategies of artificial intelligence (AI) on the dissemination of scientific journals, providing theoretical basis and practical guidance for enhancing the dissemination power of scientific journals in the era of AI. [Methods] Theoretical research and system analysis method are used to explore the positive role of artificial intelligence in the dissemination of scientific journals and the problems and challenges it brings, and corresponding countermeasures and suggestions are proposed. [Findings] Artificial intelligence effectively enhances the dissemination efficiency and effectiveness of scientific journals by enabling the content production process, transforming the dissemination mode, and upgrading user interaction methods; however, it also brings a series of problems and challenges to the dissemination of scientific journals, including content quality and intellectual property rights risks, technical dependence and ethical risks, dissemination effect alienation risks, and resource allocation and regulatory norm risks. [Conclusions] Scientific journals should pay high attention to the impact of artificial intelligence on their dissemination, establish sound policy mechanisms, actively respond to industry transformation, make full use of various media, strengthen platform tool construction, and cultivate new skills of editorial talents, so as to promote the greater role of artificial intelligence in enhancing the dissemination power of scientific journals.
[Purposes] To establish a journal policy framework and documents in line with international standards and can be referred to by independently established China’s English scientific journals, in order to enhance the recognition of the China’s journal quality in the international academic publishing community. [Methods] By collecting the selection criteria of important databases such as WoS and Scopus, the recommendations and guidelines of main international academic publishing organizations such as COPE and ICMJE, the research ethical guidelines such as the Helsinki Declaration, the relevant policies of China, and drawing on the experience of international publishing institutions, the structure and necessary contents of the journal policy are analyzed and established. [Findings] A journal policy framework including peer review policy, editorial policy, research ethics and reporting guidelines has been established, the key points on contents and document writing are clarified. [Conclusions] The journal policy documents constructed based on this research has been reviewed and proved by international databases and international academic publishing organizations, and demonstrated to meet the international standards.
[Purposes] To analyze the copyright agreement of Shanghai biomedical OA journals and the issues related to copyright in the OA publishing process, and to figure out specific solutions, therefore to provide reference for the development of comprehensive copyright agreements and for adopting appropriate OA statements to OA journals in China. [Methods] This study retrieved and analyzed the member journals of the Committee of Biomedical Periodicals, Shanghai Society for Scientific and Technical Periodicals are the research objects. Based on the OA model of the journals, the copyright agreement and OA statement content of the OA journals are analyzed. The copyright agreement includes the name of the copyright agreement, the signing part of the agreement, the specific content of the copyright involved in the agreement, breach of contract liability and dispute resolution methods, digital publishing and database index-related information network dissemination rights, OA statements and creative commons (CC) license of the journal, and other specific details. [Findings] Among biomedical journals in Shanghai, bronze OA journals have the highest proportion (33.90%, 3837/112), but lack OA statements and CC agreements. In the copyright transfer contracts or OA statements of other types of OA journals, there are unclear copyright content, incorrect naming of rights, lack of provisions on information network dissemination rights, lack of breach of contract liability and dispute resolution methods, and copyright transfer agreements with only the author’s unilateral signature. In addition, the contradiction between the copyright agreement and the CC license mainly lies in the copyright of derivative works. The copyright agreement needs to be standardized. [Conclusions] OA journals should strengthen the management of the content of copyright agreement, improve copyright agreements and OA statements, and thus protect the interests of the publisher, the authors and the readers.
[Purposes] Research on the influencing factors of the dissemination effect of youth science popularization journals on the WeChat video platform, and propose optimization strategies to promote the short video dissemination platform of youth science popularization journals. [Methods] Based on the HSM model, 766 short videos from youth science popularization journals were selected to quantify the dissemination effect, and variance and regression analysis were used to explore the influencing factors. [Findings] Content source, title length, title sentence structure, topic tags, content theme, explanation method, video duration, and music type all have a significant impact on communication effectiveness, but narrative type has no significant impact on communication effectiveness. [Conclusions] To promote popular science knowledge dissemination among young people on short video platforms, the following three platform optimization strategies are proposed: it is recommended to make good use of title and topic techniques to enhance user attention; Deeply cultivate high-quality original content to ensure the value of knowledge; Featuring lively and lively music to aid in the transfer of knowledge.
[Purposes] This study aims to explore the potential application of large language model (LLM) technology in open peer review. By combining the opinions of review experts and the response data of authors, a meta-review is automatically generated to assist editors in quickly summarizing the key points of review and promote the development of the open peer review process in an intelligent direction. [Methods] Based on the LLM, we utilized prompt learning methods such as few-shot contrastive learning and self-reflection to identify the arguments and "problem-reply" argument pairs between review experts and authors, and used a step-by-step guidance method to guide the model to automatically generate meta-review. [Findings] Through a reasonable prompt learning strategy, the LLM can effectively recognize the arguments and "problem-reply" argument pairs and generate meta-review content with an argumentative structure, which remarkably enhances the quality of meta-review generation. [Conclusions] Meta-review induction and generation based on LLM can offer an effective approach for optimizing the open peer review process and increasing the review efficiency.
[Purposes] This study evaluates research integrity policies to provide references for improving the construction of research integrity systems and optimizing the research environment. [Methods] We regarded the implementation of research integrity policies as a quasi-natural experiment. Based on the retracted paper data of 31 provinces (autonomous regions and municipalities directly under the central government) from 2013 to 2022, we employed the interactive fixed effect model to assess the impact of this policy on the number of retracted papers. Robustness tests, placebo tests, and heterogeneity analyses were carried out to further confirm the effectiveness of the policy. [Findings] The implementation of research integrity policies can significantly increase the number of retracted papers. After adding control variables, the implementation of research integrity policies will increase the number of retracted papers by about 10.8. The implementation effect of research integrity policies varies significantly in different regions of the country. The implementation effect is significant in the central and western regions, with the average number of retracted papers increasing by about 15.2. In contrast, the implementation effect in the eastern and northeastern regions is not significant. [Conclusions] We should continuously promote the implementation of research integrity policies. We need to promote the implementation strategy of research integrity policies in different regions by classification. We must strengthen the gatekeeping role of scientific journals in the construction of research integrity and improve the quality of academic research in multiple ways.
[Purposes] To enhance the quality of Chinese scientific journals and to promote their high-quality development, this paper conducts a quantitative analysis of the characteristics of high-quality Chinese scientific and technological journals and provides corresponding development strategies. [Methods] Based on journal indicators from CSTPCD and WoS databases and information on journal official websites, from the perspectives of discipline distribution, domestic academic influence, international citation, and journal platforms, analyze the development status of academic Chinese scientific journals selected from the “Excellence Action Plan for China’s STM Journals Phase II ”. [Findings] High quality Chinese scientific journals rank among the top in domestic discipline rankings, carry more papers produced by national major projects. They have a certain degree of international visibility, but their cluster advantages are not prominent. [Conclusions] Chinese scientific journals should further enhance their academic influence, expand the carrying capacity of excellent papers, and effectively support the development of national science and technology; Clarify the positioning of the journal; Strengthen the construction of journal publishing and dissemination platforms; At the national level, we will strengthen top-level design, enhance support for Chinese scientific and technological journals, and create an ecological environment suitable for the high-quality development of Chinese scientific and technological journals.
[Purposes] To retrieve regulations or statements on ethical norms for AI-assisted writing in domestic academic journals, construct a theoretical framework for AI-assisted writing ethics in Chinese journals, and provide references for improving related practices. [Methods] Using CNKI, Wanfang and official wechat public accounts as data sources, 14 academic journal statements were selected, and finally 9 texts were selected for qualitative text analysis using Nvivo20 software. The theoretical model is constructed by combining the Risk Management Guidelines (ISO 31000:2018) and the WHO Guidelines on the Ethics and Governance of Artificial Intelligence in the Field of Health. [Findings] Guided by the six ethical principles of WHO, with authors, editors, and reviewers as the core subjects, and the academic publishing process as the main thread, a theoretical framework for AI-assisted writing ethics in China was established. [Conclusions] The framework of AI-assisted writing ethics provides theoretical support for the application of AI in academic writing, and provides a reference for the practical management of journals. In the future, further research is needed to improve the details of the framework and promote the healthy development of AI-assisted writing.
[Purposes] This study explores the functional repositioning of scientific journals in the context of rapid advancements in emerging technologies. The aim is to provide theoretical support and practical guidance for the future development of Chinese scientific journals. [Methods] Adopting a science of science perspective that emphasizes the unity of “science and society,” and utilizing the method of scientific knowledge mapping, this study examines how shifts in research paradigms and evolving needs of the scientific community influence the functional positioning of journals. The social functions of contemporary scientific journals are systematically repositioned across three dimensions: the core logic of journal development, its deepening, and its expansion. [Findings] Maintaining scientific authority and credibility is the foundational function of scientific journals. Deepening the linkage of knowledge development is a further deepening of the function of scientific and technical journals. Expanding into diverse academic ecosystems represents an innovative extension. [Conclusions] From a science of science perspective, scientific journals are not only mediums for academic dissemination, but also an important platform for academic community interaction, integration of innovation chains, and the shaping of research culture. The function and influence of scientific and technological journals are closely connected with scientific practice, and they cannot exist independently from scientific activities, nor can they produce function and influence independently of scientific activities.
This study explores strategies for popular science creation based on academic journal content and proposes effective approaches to serve as a reference for other academic journals and editorial colleagues.
Using the new media of the Medical Journal of Peking Union Medical College Hospital, which had successful experience in science popularization, as a case, we analyzed effective strategies for popular science creation from three dimensions: topic selection, copywriting, and presentation.
In the process of creating popular science content for academic journals, topic selection can be based on the special issue theme, combined with characteristic columns, and should closely follow academic hot spots. Copywriting should focus on crafting an exquisite title, creative introduction, engaging body, and profound conclusion. For presentation, employing rich visual elements, innovative opinion leader videos, popular science comics, long graphics, MG animations, and integrating AI technology can effectively enhance the quality of popular science works and improve mass communication.
As key platforms for disseminating scientific achievements, academic journals should embrace the role of popularizing science, focus on the origins of popular science, explore various creative methods, and summarize effective strategies. This approach will promote the prosperity of both scientific research and popular science, and achieve synergistic development.
[Purposes] To explore how generative artificial intelligence empowers the creation and dissemination of video abstracts for scientific papers, we analyze the advantages and challenges faced by artificial intelligence generated content (AIGC) in journal publishing and dissemination applications. [Methods] A method was proposed that leveraged multiple AIGC models to assist in journal cover design and video abstract creation. Through specific case studies, the process of using Kimi AI to generate scripts, Zenvideo digital humans for dubbing, Jimeng AI to create storyboard videos, and PPT to design text without background was detailed. An in-depth analysis was provided on the significance of AIGC in transforming text abstracts into video abstracts, the impact of AIGC on new media editing work, and the ethical challenges surrounding AIGC generation. [Findings] AIGC technology significantly enhances work efficiency and quality in journal cover design and video abstract creation, reduces production costs, and improves the readability and acceptability of paper abstracts. AIGC promotes the integration of journal publishing and new media dissemination. However, challenges such as bias, information leakage, reliability, and authenticity emerge during content generation. [Conclusions] Generative artificial intelligence empowers the creation and dissemination of journal cover designs and video abstracts for scientific papers, profoundly impacting new media editing work. Therefore, it is crucial to recognize and address the potential ethical issues in AIGC usage to ensure the effectiveness and authority of academic dissemination.
[Purposes] To analyze the current situation of national standards and industry standards related to the editing and publishing of scientific journals in China, and preliminarily build the standards system framework, so as to provide reference for the formulation and improvement of scientific journal standards and the work of scientific journal editors. [Methods] The national public service platform for standards information was searched to obtain the national standards and industry standards related to the editing and publishing of scientific journals, which were then classified to construct the standards system framework. The standard release date, replaced standard, competent department, drafting units, standard adoption status and standard acquisition method were analyzed. [Findings] The standards system framework for editing and publishing of scientific journals was preliminarily constructed, which was divided into 3 categories (basic standards, publishing form standards, and editing standards), including 11 subcategories, and 59 standards. The system included 35 national standards and 24 industry standards. The release date of the standards is concentrated in two time periods: from 1986 to 1993 (10 items) and from 2009 to 2023 (41 items). Twenty-two current national standards have replaced the previous standards. Ten national standards adopt international standards. National Press and Publication Administration managed the largest number of standards as the competent department. The drafting units of the 17 standards are more than five. Multiple ways could be used to query and obtain standard information online. [Conclusions] The number of standards related to the editing and publishing of scientific journals has increased in China in recent years. The standards are more focused on specific norms for journal editing and publishing, and the number of drafting units has increased. The ways of obtaining standards online have increased. The standards related to the editing and publishing of scientific journals have been systematized, which can be used as the basis for the construction of the standards system table. The standards system should be improved to cover the whole process of scientific journals, and the role of industry groups in standard formulation should be emphasized.
This study aims to improve the quality of journal publishing, promote the high-quality development of journals, scientifically and accurately disseminate excellent scientific research results, eliminate the problem of non-standard use of quantities and units at the source, and strengthen the awareness of journal editors and authors to standardize the use of quantities and units in accordance with national standards.
Based on a systematic review of the review opinions and records of 36 journals reviewed by individuals from 2013 to 2023, and a summary of the review opinions of 193 journals reviewed in 2023, we adopted methods such as literature research to study national standards and norms, and quantitative calculation of journal proportions. Combined with the characteristics of journals, the indicators of non-standard use of quantities and units discovered during the review were classified. We also pointed out the issues identified during the review process in accordance with relevant national standards and provided revision cases.
According to national standards, norms, and indicator classification principles, the indicators for non-standard use of quantities and units are divided into 5 primary indicators, 10?secondary indicators, and 40 tertiary indicators. Among the 36 journals reviewed by individuals, approximately 94.4% exhibit non-standard use of quantities and units, while in the 193 journals reviewed in a centralized manner, approximately 57.0% show similar issues. Among the 10?secondary indicators, the 3?most problematic ones are non-standard quantity symbols, non-standard unit symbols, and non-standard numerical and unit writing formats. Based on the review findings, revision cases of non-standard use of quantities and units are provided, highlighting the importance of improving the quality of editing in terms of quantities and units and proposing suggestions to strengthen the standardization of quantities and units.
Journal editors and authors should conscientiously implement the national standards for quantities and units. Editorial departments can list the requirements for standardized use of quantities and units in prominent positions on their websites or their WeChat official account platforms, and strengthen the intelligent and platform-based management of the standardized use of quantities and units. The correct use of quantities and units is not only beneficial for accurately describing and disseminating scientific research achievements, but also promotes the effective communication of research findings, further enhancing the high-quality development of scientific journals.
[Purposes] Statistics on the current situation of Chinese scientific and technical journals in the construction of publication ethics in order to enhance the quality of publication ethics of Chinese scientific and technical journals. [Methods] A comparative study was conducted on the publication ethics of Chinese and English scientific and technical journals included in the core library of the Chinese Science Citation Index (CSCD) (2023—2024). Based on the three-level theoretical analysis framework of “division of responsibilities - normative elements - actual content of ethical norms”, we conducted a comparative study on the ethical norms for publishing journals in Chinese and English. [Findings] Chinese scientific and technical journals have made certain achievements in the construction of ethical norms for publication, but there were problems that are more prominent. In the construction of norms was reflected in the overall publication rate was weak; In the content of the norms was reflected in: the norms for authors were characterized by a lack of specific operational rules for multiple submissions and duplicate publications, and the norms for authors’ conflict of interest declarations were weaker, insufficient attention to scientific research ethics, and a lack of application vectors for data storage and reproducibility norms. There was still room for enriching the content of reviewer’s standard; the editorial standard was relatively insufficient in the new academic misconduct management standard, and the complaint appeal and correction withdrawal standard and process were not specific enough; there was a difference between the journal publisher’s standard and the international level in journal management. [Conclusions] It was recommended to increase the rate of publication ethics in terms of norm construction. Clarify the details of various author norms, and draw on the advanced experience of reviewer norms of international authoritative organizations and well-known publishers, and guarantee that rights and obligations stipulated in the management of journals are duly exercised in terms of norm content.
This study aims to reveal the important role that scientific journals play in promoting the generation and development of new quality productive forces, as well as the mechanisms behind this role. The goal is to provide references and insights for scientific journals to assist in the transformation and upgrading of productivity in the new era. Additionally, the study seeks to explore the strategies of scientific journals to support the development of new quality productive forces.
Through the examination and analysis of typical cases in history, following the logic of the generation of new quality productive forces, we revealed the roles that scientific journals had played and could play at different stages of this process.
The study shows that scientific journals have a unique and significant role in the generation of new quality productive forces. They impact the discovery, concretization, and materialization of innovation sources. Furthermore, they strongly promote the diffusion of creativity and the effective governance of the application of new quality productive forces.
Based on historical experience, scientific journals should accurately understand the characteristics of new quality productive forces in the new era. They should recognize their roles and mechanisms at different stages of development. To enhance their contribution, scientific journals need to innovate both their ideas and institutional mechanisms.
[Purposes] This study aims to construct a quality evaluation and selection system for high-quality OA journals, providing methods and tools for scientifically assessing the quality of OA journals. It also offers reference guidance for scholars to select reliable and trustworthy publication platforms and serves as a benchmark for OA journals to optimize their management practices. [Methods] An expert panel was formed based on the “International OA Journal Recommended List” project. Through expert consultations, surveys, and multiple rounds of discussions and feedback, the OA journal evaluation and selection system was developed and tested and optimized during the project practice. [Findings] Based on the research results, the evaluation content and data indicators were established from three dimensions: publication standards, content development, and open practices. An OA journal evaluation and selection system was built, comprising three primary indicators, 17 secondary indicators, and several supporting quantitative and qualitative metrics. [Conclusions] The OA journal evaluation and selection system proposed in this study covers all aspects and processes of OA journal publishing activities. It provides a comprehensive evaluation of journal quality, and its results can offers a scientifically sound and feasible methodological support for the evaluation and selection of high-quality OA journals.
[Purposes] To improve the accuracy and efficiency of peer review in biomedical journals, this study aimed to evaluate the capabilities of Claude 3 Opus and Kimi in peer review for biomedical journals and provide recommendations. [Methods] Peer reviews were conducted using Claude 3 Opus and Kimi on 29 papers from China Oncology that were at the final review stage before publication, and were examined according to the disclosure checklist in the Biomedical Research Reporting Guidelines. All authors declared their consent to use AIGC for peer review. The result of the AIGC peer reviews were scored using a 5-point Likert scale. Count data were analyzed using one-way ANOVA or Fisher exact probability test, and multiple paired measurement data were analyzed using the Friedman M test. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the two types of AIGC assessments were calculated using a four-fold table method, and ROC curves were plotted and assess their predictive capability. [Findings] Of the 29 articles, after the final review meeting, 6 were published, 15 were published after revisions, and 8 were rejected. Claude 3 Opus’s peer review conclusions led to the publication of 19 articles and the publication of 10 after revisions. Kimi’s peer review conclusions resulted in the publication of 9 articles, 16 after revisions, and 4 rejections. The Friedman M test showed no statistically significant difference between Kimi’s peer review conclusions and the experts’ conclusions at the final review meeting (M=0.241, adjusted P=1.000). The Likert scale results indicated that the experts at the final review meeting had a higher level of agreement with Kimi’s peer review results than with those of Claude 3 Opus (3.85±0.47 vs 3.48±0.73, F=10.017, P=0.002). In terms of reviewing according to the Biomedical Research Reporting Guidelines disclosure checklist, Claude 3 Opus’s evaluation accuracy was 77.5%, sensitivity was 76.9%, and specificity was 64.0%; Kimi’s evaluation accuracy was 75.2%, sensitivity was 77.5%, specificity was 70.1%. ROC curve analysis showed that the areas under the curve for Claude 3 Opus and Kimi were 0.818 and 0.841, respectively, indicating good predictive capability. Upon testing, there was no statistically significant difference between Kimi’s review results and the editor’s review results (M=-0.152, adjusted P=0.061). [Conclusions] Claude 3 Opus and Kimi have shown good capabilities in reviewing the disclosure checklist of biomedical research reports, with high consistency compared to editorial reviews. However, these two AIGC models have not yet reached the level of expert peer review, exhibiting issues such as inaccuracy in generated content, lack of personalization in generated content, insufficient extrapolation of external content, ambiguity in review content, overly coarse-grained generated content, bias towards positive evaluations in review conclusions. Despite these issues, they still demonstrate certain potential for application. To further enhance their effectiveness, it is recommended that medical experts, medical editors, and AIGC developers work together to establish relevant standards, ensure data security and quality, increase transparency, reduce review bias, adhere to publishing ethics, and establish effective supervision and feedback mechanisms to ensure the accuracy of AIGC in peer review for biomedical journals.
[Purposes] This study aims to analyze the characteristics of world-class scientific journals, enhance a comprehensive understanding of them, and explore practical and feasible paths for helping Chinese scientific journals to ascend to the first echelon in the world in terms of comprehensive strength. [Methods] Based on the data of 145 world-class scientific journals selected by the peer review of the Nature Index, we conducted a scientometric analysis on these journals from multiple dimensions such as academic influence and social influence, and a comparative study with 22 leading scientific journals included in the “Excellence Action Plan for China's STM Journals” in 2019. [Findings] World-class scientific journals usually have a long history, strong paper-carrying capacity, high-quality manuscript sources, and a high level of internationalization, as well as strong capabilities in clustering, industrialization, and digitalization. In contrast, leading scientific journals in China are relatively weaker in these aspects. [Conclusions] In the pursuit of becoming first-class, Chinese scientific journals should maintain the patience of making steady progress and accumulating strength, accumulate the depth and breadth of the journal, optimize the manuscript review, editing, and proofreading processes, improve the quality of manuscript sources, strengthen international cooperation, and enhance the level of internationalization. From the perspective of the management departments, they should establish a high-quality scientific journal evaluation system with Chinese characteristics, gather advantageous resources, promote the cluster development of journals, build a national platform for publishing, dissemination, and service, and promote the transformation and upgrading of the journal industry.
[Purposes] This study aims to construct an interaction behavior model for WeChat subscribers of academic journals. It also analyzes the influencing factors of academic journal WeChat subscribers' interaction behavior and provides effective strategies for the operation and communication of academic journal WeChat official accounts. [Methods] Based on the qualitative research method of grounded theory, we conducted semi-structured interviews. We explored the behavioral mechanisms and inherent characteristics of the interaction behaviors of academic journal WeChat subscribers. Furthermore, we constructed an interactive behavior model for WeChat subscribers of academic journals. [Findings] The platform and content factors of academic journal WeChat official accounts affect the interactive presence of subscribers. Additionally, knowledge and technology factors establish the interaction boundaries of subscribers. Topic setting and circle environment guide the interactive focus of subscribers. Self-efficacy, self-presentation, and academic social interaction stimulate the interactive resonance of subscribers. [Conclusions] The operators of academic journal WeChat official accounts should optimize the interactive scenarios. They should improve the platform and content forms to attract users. Operators should also reduce barriers to interaction and expand the audience base by addressing interdisciplinary and social hot topics. Strengthening the focus of interaction by leading the depth of academic interaction with well-known scholars is essential. Lastly, expanding interactive channels will stimulate users' desire for interaction through positive feedback.
This study aims to gain a comprehensive understanding of the ranking and overall standard of China's ESCI journals in terms of citation indicators on the international stage. This can provide a strong reference for accurately assessing the status and influence of China's ESCI journals internationally and further exploring strategies to develop world-class journals.
Using the WoS database, we collected and compared the main citation indicators of ESCI journals in China with those of G7 countries such as the UK, France, the US, and Japan, as well as emerging economies like Republic of Korea, India, and Russia in 2022.
ESCI journals from China demonstrate outstanding performance in impact factor, 5-year impact factor, immediacy index, citation half-life, and number of citations per review article, ranking first among 11 countries. In terms of the number of journals, the number of papers, cited frequency, and eigenfactor, China's ESCI journals are behind the US, UK, and Germany. The publication cycle of China's ESCI journals is longer, and the citation half-life is relatively short.
To further enhance the international academic influence of China's ESCI journals and expedite their entry into the ranks of SCIE journals, several strategies should be implemented: timely adjusting the publication strategy, increasing the journal's visibility and popularity, and effectively boosting cited frequency; adopting English as the publication language and deepening cooperation with international publishers to obtain high-quality scientific research results worldwide; actively inviting internationally renowned experts and scholars to serve as editors in chief and editorial board members, enhancing the internationalization level of the editorial board, and further enhancing the international influence.
This paper conducts a comprehensive review of 48 English scientific journals indexed by SCIE under the supervision of the China Association for Science and Technology (CAST). The aim is to provide suggestions for improving these journals, offer references for the journal management departments to formulate relevant policies and top-level designs, and contribute to the advancement and enhancement of Chinese scientific journals.
We analyzed the general status, publication volume, proportion of international authors, international citation rate, impact factors, total cites, and open access ratio of these 48 journals by bibliometric methods, network research, and telephone surveys.
These journals have made significant progress in terms of academic quality and influence, with some achieving world-class standards. However, they face several issues, including imbalances in hosting regions and disciplinary fields, a need for stronger domestic publishing platforms, low publication volumes for some journals, limited international influence, and a relatively low proportion of open access articles in mixed journals.
Overall, the English scientific journals supervised by CAST are developing well. It is recommended to further strengthen policy guidance to promote the high quality development of more journals, aiming to be world first-class level.
This study aims to quantify the novelty value of papers from the perspective of combinatorial novelty and to explore the relationship between academic novelty, attention, and impact in scientific journals. This provides data support for understanding the role of novelty in academic dissemination.
Using 19278 papers published in leading and key journals under the Excellence Action Plan for China's STM Journals from 2018 to 2020 as the sample, we conducted a negative binomial regression analysis to examine the correlation between academic novelty and both attention and impact.
The findings reveal a positive correlation between academic novelty and both attention and impact (P<0.05 in both cases), and this result is robust.
Academic novelty in papers is not only an effective means to increase attention but also a key factor in enhancing their impact. Recommendations include assessing global research trends to plan interdisciplinary special issues, enhancing editorial academic sensitivity to accurately identify innovative papers, and forming interdisciplinary review teams to ensure precise paper evaluations.
[Purposes] To ensure the sustainable development of China's scientific journals, this study aims to construct a comprehensive, scientific, and systematic publication ethics standards system for scientific journals, and to promote the construction of publication ethics norms in the journal publishing industry. [Methods] First, based on the subject-object relationships and interactions within scientific journals, we clarified the classification and modules of publication ethics norms. Then, we investigated a wide range of representative publication ethics norms at home and abroad and identified the key theme elements according to the norm consensus. Finally, we adopted the expert consultation method to establish the final publication ethics standards system. [Findings] The proposed publication ethics standards system for China's scientific journals consists of 3 ethical norm modules, 25 ethical norm themes, and 65 ethical norm elements. [Conclusions] This standards system can enhance the self-discipline of authors, editors, and reviewers and promote the integration of Chinese scientific journals into the global academic publishing and exchange system. It will keep pace with the times, expand dynamically, and contribute to the standardized construction and development of China's digital and intelligent research and publishing.
[Purposes] This study aims to investigate the current application status of machine translation (MT) in the translation of medical paper abstracts, identify key issues, and explore effective collaborative pathways for MT. [Methods] We conducted a questionnaire survey to collect data from medical journal editors and authors regarding their awareness, usage behavior, and quality evaluation of MT. [Findings] Data are collected from 193 editors and 489 authors in this survey. Totally 93.66% of authors and 87.57% of editors use online MT for academic translation and have system preferences. 90.68% of editors accept MT as an auxiliary tool, and 75.65% consider that it has reduced their workload to a certain degree. 61.14% of editors and 44.58% of authors actively optimize the original text before using MT. 58.69% of authors state that they conduct post-editing, but only 29.02% of editors recognize that authors have done post-editing before submission. 51.12% of authors and 29.02% of editors are satisfied with the quality of abstracts after MT and author modifications. The quality of abstracts after editorial review is highly rated by 70.46% of editors and 42.74% of authors. [Conclusions] MT is widely adopted in the translation of medical paper abstracts, but differences exist in usage habits and quality evaluations. It is recommended to establish a collaborative pathway from authors to editors, cultivate the ability to use MT effectively, and promote the in-depth integration of MT into the publication of medical scientific journals, so as to improve translation quality and efficiency.
[Purposes] To explore the innovative pathways, development outcomes, and lessons learned from the centralized management model of university journals. [Methods] Taking “Xi’an Jiaotong University Journal Cluster” as an example, this study combines the evolutionary process of the journal group and its management model innovations to summarize specific innovative practice pathways, achievements, and insights. [Findings] The centralized management model has enabled“Xi’an Jiaotong University Journal Cluster” to achieve significant results in launching new journals, enhancing academic influence, promoting scholarly communication, and constructing the “Silk Road Journal Cluster”. [Conclusions] The centralized management model ensures the sustainable development of journal groups through top-level design, innovative management models, operational reforms, organized research initiatives, and collaborative journal operation models. It serves as a significant approach for the clustered management of university journals.
[Purposes] This paper discusses how scientific journals construct and develop new quality productivity in the era of artificial intelligence. It analyzes the connotation of the new quality productivity of scientific journals, as well as the restructuring of its elements and value transfer. On this basis, a model and development strategies for the new quality productivity of scientific journals are presented. [Methods] Analyze the new quality productivity of scientific journals from two dimensions of “newness” and “quality”. Interpret “newness” from new technologies, new economies and new business forms, and interpret “quality” from reform traction, innovation driving force and value centripetal force. On this basis, analyze the laborers, means of production, objects of labor, production relations and ecology that match the new quality productivity of scientific journals. Analyze the value transfer and reconstruction of scientific journals from three dimensions: from people to AIGC, from scenarios to industry large models, and from the scientific journal industry to the affiliated science and technology industry. [Findings] Scientific journals can build new quality productivity from directions such as intelligent content production, review, editing and proofreading, accurate content recommendation and personalized services, topic selection analysis and trend prediction, automated operation and intelligent decision support, global knowledge services, AIGC omnimedia content forms, cross-language and cross-cultural global communication, etc., to achieve breakthrough changes in scientific journals and exert unique value. [Conclusions] Against the backdrop of new quality productivity, we should reshape the workflow of scientific journals, further stimulate creativity, highlight the value of the platform, significantly increase the value of digital assets, maximize brand value, substantially enhance market competitiveness and global academic influence, greatly improve the level of participation and discourse power within the science and technology industry, and ultimately achieve high-quality development of scientific journals.