摘要
[目的/意义]Web2.0环境下,传统引文指标已无法满足全面评价期刊影响力的需求,考察Altmetrics指标与传统引文指标之间的关系,构建基于两种指标的期刊影响力综合评价模型,可为期刊影响力评价提供新的视角。[方法/过程]以国际图书情报学期刊为例,通过相关性分析考察AAS和Mendeley读者数与传统引文指标之间的关系,筛选合适的底层指标通过主成分分析法构建期刊影响力综合评价模型。[结果/结论]AAS和Mendeley读者数与传统引文指标之间呈正相关,表明将Altmetrics应用于期刊影响力评价是可行的。传统引文指标与AAS呈中等程度相关,与Mendeley读者数呈强相关,说明两种Altmetrics指标对期刊影响力的测度存在差异。选取影响因子、特征因子、即年指标、SJR、SNIP、H5指数、AAS和Mendeley读者数作为底层指标构建期刊影响力综合评价模型,所有指标被划分为“学术引用因子”“社交传媒因子”和“读者数量因子”3类。Altmetrics是对传统引文指标的有效补充,综合使用两种指标可获得更加全面客观的期刊影响力评价结果。
[Purpose/Significance]In the context of Web2.0,traditional citation indexes can no longer meet the needs of comprehensive evaluation of journal influence.Studying the relationship between Altmetrics index and traditional citation index and establishing the comprehensive evaluation model of journal influence based on two indexes can provide a new perspective for the evaluation of journal influence.[Method/Process]Taking the international journal of library and information science as an example,the relationship between AAS,Mendeley readers and the traditional citation indexes was studied through correlation analysis.Then the appropriate underlying indicators were selected to build the comprehensive evaluation model of journal influence by principal component analysis.[Result/Conclusion]There is a positive correlation between AAS,Mendeley readers and traditional citation indexes,which indicates that it is feasible to apply Altmetrics to the influence evaluation of journals.The traditional citation indexes are moderately correlated with AAS but strongly correlated with Mendeley readers,indicating the measurements of journal influence through AAS and Mendeley readers are different.Impact factor,eigenfactor score,immediacy index,SJR,SNIP,H5 index,AAS and Mendeley readers are selected as the underlying indicators to build a comprehensive evaluation model of journal influence.All indicators are divided into three categories including academic citation factors,social media factors and reader number factors.Altmetrics is an effective supplement to the traditional citation indexes.Comprehensive use of the two indexes can obtain more comprehensive and objective journal impact evaluation results.
作者
李鑫
任俊霞
Li Xin;Ren Junxia(Harbin Institute of Technology(Weihai)Library,Weihai 264200)
出处
《情报杂志》
CSSCI
北大核心
2020年第1期146-153,共8页
Journal of Intelligence