【摘要】 【目的】研究目前Mendeley中文献用户阅读数据是否得到充分积累,及其能否揭示优质文献,对Altmetrics中用户阅读数据指标在科学评估中的价值进行评价。【方法】选定文献集合,对Web of Science、Google Scholar上被引数目与Mendeley上用户阅读数目进行统计和相关性分析。【结果】在研究集合中,用户阅读数据相比原先得到良好的积累,且和文献被引数据保持良好的相关度,但高被引文献的被引数据与用户阅读数据的相关度相比总体相关度较低。【局限】文献样本集合仅针对所选定的特定学科和期刊,在数据的代表性和全面性上存在不足,是否能推广至其他领域有待进一步研究。【结论】在Altmetrics各类指标中,以Mendeley的用户阅读数据代表的用户阅读数据是评价文献质量的良好指标,可对引文分析进行补充。更多还原

【Abstract】 [Objective] The research investigates whether user readership data in Mendeley is reliable and useful in evaluating scientific literatures and whether user readership data can reveal high quality articles, to validate the indicators of Altmetrics in scientific evaluation. [Methods] The paper selects a number of articles, collects these articles’ citations in Web of Science(Wo S) and Google Scholar(GS) and user readership data in Mendeley, and then makes statistical and correlational analyses. [Results] Mendeley has accumulated much more user data than before. Articles’ user readership data have strong relationship with the citations in Wo S and GS. However, the relationship between user counts and citations in the articles that have highest citations in Wo S is relatively weaker. [Limitations] In this research, articles come from less journals in a specific field, that may make it be lack of representativeness and comprehensiveness. [Conclusions] User readership data could be useful to act as a supplement of present scientific evaluation indicators.更多还原