Abstract:

Purposes To explore the situation of data reuse papers in Chinese scientific journals and its relationship with the journal impact， and to provide references for improving the influence of Chinese scientific journals. Methods This study analyzed 5662 citable papers from 24 journals in the medical and health sciences to examine the prevalence of data reuse papers and their relationship with journal impact metrics， including the composite impact factor， 5-year composite impact factor， academic journal clout index， journal mass index， and total citations. Findings Data reuse papers accounted for 10.21% of publications in Chinese medical and health science journals， with significant variation across different journals. Data reuse papers have higher average citations and downloads per paper than non-data reuse papers. Core journals demonstrated a significantly higher proportion of data reuse papers， along with greater average citations and downloads per paper compared to non-core journals. Data reuse papers derived from government and organizational datasets and those from universities and research institutions were the most frequently published and showed the highest impact. The proportion of data reuse papers， average citations per paper， and average downloads per paper all showed significant positive correlations with the journal impact metrics. Conclusions Journals can enhance their academic influence by increasing the publication of data reuse papers. Academic journals should emphasize the dissemination of data reuse papers to further promote scientific data sharing and advance open science practices in scholarly publishing.

Key words: Academic journal, Data sharing, Data reuse, Open science, Journal impact

摘要：

目的 探讨我国中文科技期刊数据重用论文情况及其与期刊影响力的关系，为提高我国中文科技期刊影响力提供参考。 方法 基于医药卫生科技领域24种期刊的5662篇可被引论文，分别统计每种期刊的数据重用论文情况，以期刊复合影响因子、复合5年影响因子、影响力指数、量效指数和复合总被引作为期刊的影响力评价指标，分析不同期刊发表的数据重用论文情况及其与期刊影响力的关系。 结果 我国医药卫生科技领域期刊的数据重用论文比例为10.21%，不同期刊数据重用论文的占比差距较大。数据重用论文篇均被引频次和篇均下载频次高于非数据重用论文。核心期刊的数据重用论文占比、篇均被引频次和篇均下载频次均显著高于非核心期刊。政府及组织、高校及科研机构来源的数据重用论文发表数量最多，影响力最大。数据重用论文比例、篇均被引频次和篇均下载频次与期刊影响力各指标均呈显著正相关关系。 结论 科技期刊通过提高数据重用研究成果的发表比例，可助力期刊影响力的提升。学术期刊应重视数据重用论文的发表，以进一步推动科学数据共享，助力开放科学理念在学术出版领域的深入发展。

关键词: 学术期刊, 数据共享, 数据重用, 开放科学, 期刊影响力