基于因子分析和熵权-TOPSIS法的我国医学类英文期刊综合评价体系研究
Improved evaluation system for international medical journals in China based on factor analysis and entropy-weighted TOPSIS method
刘宇舸 1丁佐奇2
作者信息
- 1. 中国药科大学国际医药商学院,江苏省南京市鼓楼区童家巷24号 210009
- 2. 中国药科大学国际医药商学院,江苏省南京市鼓楼区童家巷24号 210009;中国药科大学《中国天然药物》编辑部,江苏省南京市鼓楼区童家巷24号 210009
- 折叠
摘要
[目的]从多维指标角度对我国医学类英文期刊的综合影响力进行评价,为期刊评价体系的优化和发展提供新思路.[方法]以75种我国出版的医学类英文期刊为数据源,从学术影响力、期刊声誉、社会影响力3个维度共选择14个指标构建指标体系.采用熵权法结合因子分析来计算各指标权重,并通过TOPSIS法计算各指标的综合得分.[结果]实证研究表明,学术影响力、期刊声誉和社会影响力3个维度互相促进.对科研成果的收藏、添加书签等交互行为比在社交媒体、新闻、博客等传播渠道的提及更能提升期刊的综合影响力.[结论]引入期刊声誉与社会影响力指标有助于综合反映期刊的多维影响力,在一定程度上全面体现期刊的发展情况.
Abstract
[Purposes]This study aims to comprehensively assess the influence of China's international medical journals from multiple dimensions and provide new insights for the optimization and development of journal evaluation systems.[Methods]We selected 75 international medical journals in China as the data source.A total of 14 indicators were chosen to construct an index system across three dimensions:academic impact,journal reputation,and social impact.The entropy weighting method,combined with factor analysis,was used to calculate the weight of each indicator,and the TOPSIS method was employed to calculate the comprehensive scores of each indicator.[Findings]The research demonstrates that the three dimensions mentioned above mutually enhance each other.Actions such as adding research results to collections and bookmarking them significantly contribute to the improvement of a journal's comprehensive influence,more than mentions on social media,news,and blogs.[Conclusions]Incorporating indicators of reputation and social impact into the evaluation systems provides a comprehensive assessment of the multidimensional influence of journals,offering a more complete picture of the development of journals.
关键词
科技评价/TOPSIS法/期刊评价/因子分析Key words
Science and technology evaluation/TOPSIS method/Journal evaluation/Factor analysis引用本文复制引用
基金项目
中国高校科技期刊研究会与施普林格·自然(Springer Nature)中国办公室联合项目(CUJS-GJHZ-2022-02)
出版年
2024
NETL
NSTL
万方数据