ISSN：1001-7143 CN：11-2684/G3
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Purposes To explore the development path and framework of AI-driven transformation for scientific journals’ knowledge service， and provide practical references for intelligent knowledge services in scientific journals. Methods Firstly， we conducted a systematic analysis of the characteristics and evolutionary process of the intelligent knowledge service of scientific journals. Next， we presented a case study of the STM publishing industry， and then analyzed the deployment of AI policies， the integration of AI technologies and the development of AI applications. Finally， we provided an AI application strategy for scientific journals. Findings We proposed a four-dimensional framework of “Scene-Resource-Model-Policy” for the intelligent knowledge service of scientific journals. Specifically， this includes： constructing a trustworthy AI corpus based on journal resources， guaranteeing model professionalism based on domain knowledge and publishing standards， developing scenario-driven AI applications， and improving the AI governance system of scientific journals. Conclusions AI for Science （AI4S） is accelerating the transformation of scientific journals into intelligent knowledge services. The STM publishing industry should develop AI strategies， and establish feasible implementation plans.
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Purposes This study systematically examines the development history， publishing models， and current status of study protocols as an emerging form of scientific output， with the aim of informing and promoting the publication practices and standardization of such papers in China. Methods Using literature review， case analysis， and statistical methods， this research analyzes the publishing process， quality control mechanisms， open access trends， and disciplinary and geographic distribution of study protocols based on the Web of Science database（from 2014 to 2023） and publishing practices globally. Special emphasis is placed on collaborative models between major publishing platforms and academic journals. Findings The global output of study protocols continues to increase， with a growing proportion being open access. Research in this area is most prominent in fields such as biomedicine and psychology. Although China ranks among the top countries in annual publication volume， it still faces challenges including a lack of high-quality publishing venues and standardized guidelines. The prevailing publishing model combines repository platforms with academic journals， emphasizing methodological transparency， open peer review， and open sharing. Conclusions Study protocols significantly improve research transparency and reproducibility. China should advance their development through coordinated efforts in platform construction， standard setting， and reform of evaluation mechanisms to enhance overall research quality and impact.
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Purposes To explore the different value connotations of preprint platforms for various stakeholders， enrich the theoretical perspectives and content of preprint platform research， and promote the value realization of preprint platforms in the era of open science. Methods By combining in-depth interviews with grounded theory， in-depth interviews were conducted with 15 experts from the scientific and industrial communities to induce the value connotations of preprint platforms. Findings The core stakeholders related to the value of preprint platforms include the scientific community， publishers， research funders， and the general public. The attribute value and perceived value they possess are different for different stakeholders but are closely related. Conclusions The value evolution of preprint platforms follows a chain mechanism of “attribute value → perceived value → multi-stakeholder recognition → social confirmation”. Any break in this chain will lead to stagnation in value generation， dissemination， and enhancement.
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Purposes To investigate the actual needs of Chinese chemistry researchers regarding enhanced publication features in academic journals， and to assess the current implementation of visualization， data linkage， multimedia， and 3D/VR support in chemistry journals. The study further aims to propose targeted strategies for implementation， providing reference pathways for the adoption of enhanced publication within the discipline， thereby improving journals’ knowledge service capacity and dissemination effectiveness. Methods A combination of questionnaire and web-based investigations was employed. Based on 229 responses from chemistry researchers， user needs， satisfaction levels， and attitudes toward VR technology were analyzed. Simultaneously， 14 domestic chemistry journals indexed in China National Knowledge Infrastructure （CNKI） were selected， and 140 articles were randomly sampled to analyze the coverage of enhanced publication features. Findings Researchers generally value features such as data visualization， raw data linkage， 3D models， and multimedia embedding （e.g.， 95.6% of respondents cared about access to raw data， 97.4% about links to related studies， and 93.9% recognized the value of multimedia）. “User interface and experience” “content relevance” and “functional diversity” were prioritized for improvement. However， the sampled journals showed significantly limited provision of these features： interactive charts and 3D models had coverage rates of approximately 7.14%， raw data set links about 5%， video/animation embedding about 4.29%， and crystal structure database links about 4.17%， indicating a clear mismatch between supply and demand. Conclusion The provision of enhanced publication features in Chinese chemistry journals does not yet fully meet researchers’ actual needs. Advancements can be made by improving content organization， functional design and development， and user interaction optimization to promote enhanced publication practices.
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Purposes This paper summarizes the development strategy， operation， and cooperation of African journals online （AJOL）， providing reference for the journal development. Methods Taking the AJOL platform as a case study， it makes a comprehensive analysis of the developing road， technical measures， operation mode， international cooperation， and so on， by analyzing the website data and combining with the literature of African research. Findings Until now AJOL has gathered 894 journals by taking unified technical standards， and actively expanding international cooperation as development measures. Among them， there are 424 kinds of open access （OA） and 92 journals included in the Scopus database. AJOL platform promotes capacity building and standardization in the development and cooperation. It evaluates journals according to its own JPPS grading system to promote the self-construction of journals. The diversified operation mode of AJOL is worthy of reference for the construction of journal platforms in China. Conclusions AJOL platform’s standardized management and the leading role in promoting international cooperation have greatly promoted the common development and international influence improvement of African journals.
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Purposes This paper investigates the current situation of the dissemination of popular science journals on WeChat video account and analyzes the problems existing in WeChat video account in the short video media based on the AARRR model， and proposes countermeasures to provide references for the dissemination practice of popular science journals on WeChat video account in China. Methods Taking 21 excellent popular science journals as samples， the opening situation， operation situation， content release situation and existing problems of their WeChat video accounts were analyzed. Findings There are the following problems in the WeChat Video Accounts of popular science journals： insufficient integration awareness between journals and video accounts， similar front-end scene construction， inversion of quantity and quality， weak awareness of brand value transformation， and lack of emotional connection. Conclusions The WeChat video accounts of popular science journals should take “users” as the core and accelerate the construction of a theoretical model with “channel power - scene power - marketing power - influence power - dissemination power” as the framework， in order to improve the dissemination effect of WeChat video accounts of popular science journals and promote the win-win situation of popular science journals and WeChat video accounts.
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Purposes To comprehensively and systematically explore strategies for enhancing the editing and proofreading quality of scientific journals， scientifically and accurately disseminate excellent scientific research achievements， and promote the high-quality development of scientific journals. Methods By combining the Hall’s three-dimensional model with the practice of editing and publishing scientific journals， and utilizing the theory of the Hall’s three-dimensional model， we systematically analyzed the current status of the editing and proofreading quality of scientific journals and the three-dimensional influencing factors. We identified the correspondence between the three-dimensional factors of the editing and proofreading quality of scientific journals and the “three dimensions” in the Hall’s three-dimensional model， and outlined the concepts and characteristics of the Hall’s three-dimensional model for the editing and proofreading quality of scientific journals. Findings We constructed a Hall’s three-dimensional model for the editing and proofreading quality of scientific journals； clarified the concepts of the Hall’s three-dimensional model for the editing and proofreading quality of scientific journals， and summarized its four characteristics； and explored three-dimensional improvement strategies for the editing and proofreading quality of scientific journals from three dimensions： professional knowledge and skills， time nodes and stages， and journal publishing processes. Conclusions The constructed Hall’s three-dimensional model for the editing and proofreading quality of scientific journals treats the three-dimensional factors affecting the editing and proofreading quality of scientific journals as a whole system， emphasizing the integrity， systematicness， and unity of the system， and comprehensively considering the balance and coordination of various factors， thereby achieving the effect of enhancing the editing and proofreading quality of scientific journals. The research results can provide references for scientific journal managers， editors， and other relevant personnel in controlling the editing and proofreading quality and formulating strategies for enhancing the editing and proofreading quality of scientific journals.
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Purposes This study aims to systematically review the current state of research on scientific data sharing and reuse， providing insights to enhance data reuse efficiency and promote scientific innovation. Methods Based on Leont’ev’s activity theory， the research on data reuse is reviewed from three dimensions： “why to reuse” “what to reuse”and “how to reuse”. Using literature related to data reuse from CNKI and WoS （from 2015 to 2024） as the research sample， key research chains in the field of data reuse are preliminarily refined. Findings First， at the motivational level， there is an imbalance between “emphasizing sharing over reuse”. Data sharing is driven by institutional and ethical factors and has been analyzed both subjectively and systematically， while reuse motivations remain superficial. Second， at the decision-making level， actions focus on data accessibility， usability， and credibility. Third， at the operational level， significant disciplinary differences exist in data reuse practices. Data citation is constrained by bottlenecks in automated identification technologies， and feature analysis tends to be overly concentrated. Conclusions By establishing a collaborative data governance system and implementing disciplinary grading strategies， driven by technological and institutional innovations， the efficiency of data reuse can be enhanced.
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Purposes This study aims to depict the current international landscape of open peer review （OPR） practices in academic journals through a large-scale survey and analysis. It seeks to identify the basic characteristics of journals adopting OPR， as well as the extent and strategies of OPR implementation. The goal is to provide an empirical reference for the adoption of such practices by journals in China. Methods The study is based on a sample library of 1111 OPR journals and 11110 articles published within them. An investigation and statistical analysis were conducted on their publication information， academic impact， and specific practices concerning the openness of the review cycle， reviewer identities， and review content. Findings The results indicate a high concentration of OPR practices in Europe， within commercial publishing houses， and in the disciplines of medicine and health sciences. The adoption of OPR is primarily led by non-top-tier journals， with active participation from journals of medium to low impact. The implementation strategies for different open elements vary. The core dimensions of OPR， namely signed reviewer identities and open peer review reports， are adopted less frequently and are predominantly based on a voluntary model. Furthermore， there is a significant lack of standardized practices， such as assigning DOI to peer review reports. Conclusions OPR practices are characterized by strategic and differentiated adoption， with a conservative approach towards opening up the core elements of the review process. The heavy reliance on a voluntary model limits the potential for increasing the degree of openness. To advance OPR from a superficial to a substantive practice， journals need to progressively enhance the openness of core review stages. It is also crucial to explore effective incentive mechanisms to increase the willingness of authors and reviewers to participate in these core open practices， thereby overcoming the limitations of the voluntary model.
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Purposes This study investigates the impact of open access （OA） publishing reform on the technological influence of scientific journals. It aims to shed light on the mechanisms underlying research knowledge translation， bridge the gap between science and technology， and inform the optimization of OA publishing policies for scientific journals. Methods Based on panel data from 322 agricultural journals between 1991 and 2023， this study employs a two-way fixed effects model and a staggered difference-in-differences （DID） approach to evaluate the effects of OA on journals’ technological influence. The analysis focuses on two dimensions： the overall level of OA adoption and the institutional shift to full OA publishing. Findings An increase in a journal’s OA level significantly enhances its technological influence. Moreover， the implementation of full OA reform has a clear causal effect on improving journals’ influence within technological systems. Conclusions OA publishing reform at the journal level is not merely a strategy to enhance accessibility； it also serves as an institutional mechanism to restructure knowledge dissemination and promote the societal application of scientific research. By adopting a causal inference perspective， this study expands the understanding of OA’s role in knowledge translation and provides both theoretical and empirical insights for the repositioning of agricultural science journals and the development of science publishing policies.
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Purposes This study examines the collaboration between scientific journals and academic conferences in the field of computing， with the aim of providing insights into development models for Chinese computing journals. Methods By employing web-based surveys， content analysis， and case studies， we comparatively analyzed the cooperation practices of more than 100 representative domestic and international conferences and journals. Findings In China， collaboration is primarily realized through conference paper recommendations and special issues or columns， whereas internationally， more diverse and flexible models， such as “Journal Track” or “Journal First”， are emerging and evolving toward closer integration. Conclusions Chinese computing journals can benefit from the experiences of leading international conferences and journals. By leveraging their own strengths， they should continue to explore innovative models of journal-conference collaboration， thereby promoting integration and enhancing their academic influence.
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Purposes To construct a user demand-driven model for knowledge dissemination services in scientific journals， providing theoretical support and practical guidance for the transformation of scientific journals from traditional “content publishing” to “knowledge services”. Methods Employing a combination of case study through online research and questionnaire survey methods. First， WeChat official accounts established by 150 leading journals from Phase II of the Excellence Action Plan for China’s Scientific， Technical， and Medical （STM） Journals were investigated. Based on the Wexin communication index （WCI）， 18 official accounts with top dissemination effects were screened to identify the characteristics of knowledge service content under different dissemination patterns. Second， through questionnaire survey， 259 valid responses were collected to conduct in-depth analysis of knowledge dissemination service demand content. Findings A dynamic circulation model of “user demand identification - knowledge dissemination service provision - user behavioral feedback” was constructed. User needs can be categorized into four dimensions： basic information acquisition， in-depth knowledge interpretation， personalized services， and academic interaction， with demand ratios all exceeding 78%. Three official account dissemination patterns were identified： single-journal， Chinese-English dual-journal， and multi-journal dissemination， corresponding to refined， collaborative， and ecological differentiated service strategies respectively. A multi-level user behavioral feedback evaluation mechanism was established， progressing from passive reception through active interaction to deep engagement. Conclusions Emerging technologies play a key role throughout the entire process of knowledge dissemination services， and continuous improvement in service quality can be achieved through dynamic circulation optimization mechanisms.
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Purposes To construct journal influence evaluation indicators based on supportive citations：the rate of supportive citation （RSC） and the supportive citation impact factor （FSCI）. In order to evaluate the influence of academic journals more scientifically and reasonably. Methods Based on the supportive citation data provided by the Scite platform， 234 Chinese SCIE journals （covering 14 ESI disciplines） were selected as the research objects. The disciplinary and journal distribution characteristics of RSC were analyzed， and the differences and changing trends between FSCI and journal impact factor （JIF） were explored. Moreover， the correlations between FSCI and comparison indicators such as JIF， JIF percentile， and total citation frequency were examined. And the robustness between FSCI and JIF groups were evaluated through the Bootstrap method. Findings The mean RSC of agricultural science is relatively high， while that of computer science is relatively low. Overall， the mean RSC of the 234 journals is 0.0252， and the differences in RSC are to some extent influenced by the nature of the discipline. There are 92 journals whose FSCI and JIF are in the same quartile， and the ranking changes significantly. The correlation coefficient between FSCI and RSC is 0.604， showing a moderate correlation with the comparison indicators. The correlation between FSCI and JIF varies in different groups （the width of the 95% confidence interval is approximately 0.41）. However， RSC is not correlated with the comparison indicators. Conclusions There are significant differences in RSC among different disciplines and journals. By introducing semantic intent， FSCI can more accurately reflect the academic contributions and the degree of positive recognition of journals， providing a theoretical basis and empirical research for the construction of a more scientific and multi-dimensional journal evaluation system.
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Purposes This paper aims to enrich and refine journals’ evaluation theories and indicator systems， build an evaluation system for the international academic discourse power of Chinese English-language journals. Methods Based on Foucault’s discourse power theory and Fei Xiaotong’s cultural self-awareness theory， this paper analyzes the correlation and generative logic between the independent knowledge system and the international academic discourse power of Chinese English-language journals. A multidimensional evaluation index system is constructed， and the entropy weight method combined with projection pursuit classification is applied to conduct both single-dimensional and comprehensive evaluations of the international academic discourse power of 288 Chinese English-language journals. The reliability of the evaluation model and results is verified through correlation analysis and BP neural network. Findings This paper reveals the generative logic behind the international academic discourse power of Chinese English-language journals. By deconstructing four key dimensions of discourse influence， discourse perceptibility， discourse dissemination capacity， and discourse leadership， and it constructs an evaluation system for assessing the international academic discourse power of these journals and conducts empirical validation. Corresponding pathways for enhancement are also proposed. Conclusions Constructing a multidimensional evaluation system for the international discourse power of Chinese English-language is an inherent requirement for building China's independent knowledge system. By analysing the generative logic of discourse power， refining evaluation metrics， and advancing through multidimensional coordination， this paper provides theoretical and practical guidance for precisely enhancing the international academic discourse power of Chinese English-language journals.
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Purposes Proposing a method for measuring the comprehensive dissemination influence of journal article citation paths by integrating social media scores can help assess the overall dissemination influence of citation paths in specific subject areas. Methods Based on the citation data of journal articles and social media score data， indicators such as key literature in the citation path of journal articles， path attention， and path propagation influence were designed. A comprehensive utilization of mathematical statistics， bibliometrics， and visualization methods was employed to measure the propagation influence of the citation path of journal articles incorporating social media scores. Findings This measurement method possesses a certain degree of innovation and feasibility， effectively measuring key literature， path attention， and path dissemination influence in the citation paths of journal articles in the field of distorted health information. Conclusions The method for measuring the influence of citation paths in journal articles， which incorporates social media scores， serves as an effective supplement to the current evaluation system for journal article influence. It can provide certain references and insights for practices related to journal article evaluation.
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Purposes This study aims to compare the efficacy of three popular AI tools （Doubao， Kimi， and DeepSeek） in proofreading medical journal articles， to provide a reference for their rational application in improving editorial efficiency. Methods A total of 43 final-accepted and author-confirmed research articles published in issues from 1 to 12 of 2024 in the Journal of China Medical University were randomly selected. Using manual proofreading as the gold standard， the proofreading performance of Doubao， Kimi， and DeepSeek was statistically analyzed based on the following indicators： grammar， punctuation， quantities and units， numeral usage， terminology， company names， URLs， and software names. Chi-square tests or Fisher’s exact tests were employed for comparisons. Fingdings Manual proofreading detected 1718 errors in total. The error detection counts for Doubao， Kimi， and DeepSeek were 287 （16.71%）， 127 （7.39%）， and 505 （29.39%）， respectively， with statistically significant differences among the three tools （P < 0.05）. Pairwise comparisons revealed that DeepSeek significantly outperformed the other two tools， with an error detection rate 1.76 times that of Doubao and 3.98 times that of Kimi. Doubao also performed significantly better than Kimi （P < 0.05）. In the comparison of detection rates across various error categories， DeepSeek achieved significantly higher rates in company names （61.54%）， URLs （92.31%）， capitalization （80.00%）， and software names （100.00%） than both Doubao and Kimi （all P < 0.05）. Conclusions DeepSeek demonstrates an advantage in the breadth of error detection， followed by Doubao， while Kimi exhibits the weakest overall detection capability. DeepSeek’s performance in detecting errors in URLs， capitalization， and software names approached human-level performance， suggesting its potential for practical proofreading applications. However， the total number of errors detected by all three AI tools remained significantly lower than that identified through manual proofreading， indicating that general-purpose AI tools still have limitations and pose potential risks in the proofreading of medical articles. Further optimization is needed to enhance their efficacy in this specialized domain.