学术论文影响力评价指标相关性及次生影响力系数研究  

Research on Correlation and Derivative Impact Coefficient of Impact Evaluation Indicators of Academic Papers

作　　者：魏明坤 Wei Mingkun

机构地区：[1]河北大学管理学院,河北保定071002

出　　处：《情报理论与实践》2020年第5期85-90,共6页Information Studies:Theory & Application

基　　金：河北省社会科学基金项目“中国哲学社会科学学术成果国际影响力评价研究”的成果之一,项目编号:HB19TQ014。

摘　　要：[目的/意义]社交媒体环境下,补充计量指标成为影响力评价方法的重要组成部分,文章以学术论文进入流通领域开始其影响力分析,随着学术论文进入交流传播过程,其次生影响力随之产生。分析学术论文次生影响力能更好了解学术论文在交流传播过程中对其他学术活动和学术成果产生的作用。[方法/过程]文章以基本科学指标数据库(Essential Science Indicators,ESI)和Web of Science核心数据库收录的论文为研究对象,通过SPSS统计软件对学术论文社交媒体指标与引文指标的相关性进行分析。[结果/结论]研究发现社交媒体指标与引文指标呈弱相关,表明社交媒体指标与引文指标测度学术论文的次生影响力不尽相同,二者不具替代性。最后,在学术论文影响力评价指标分析的基础上,提出次生影响力系数,以期在学术论文贡献度进行其次生影响力测度。[Purpose/significance]Under the environment of social media,alternative metric indicators have become an important part of the impact evaluation method.This research begins to analyze impact with academic articles in the academic communication field,and derivative impact will be produced.The analysis of derivative impact of academic articles can better understand the effect of academic articles on other academic achievements and activities in the process of communication and dissemination.[Method/process]this paper retrieves data from Essential Science Indicators database and Web of Science core database as research objects by SPSS to analyze the correlation between social media metric indicators and citation of academic papers.[Result/conclusion]It is found that the correlation between social media metric indicators and citation is weakly correlated,which indicates that social media metric indicators and citation measure different derivative impact of academic articles,and they are not substitutable.Finally,based on the analysis of the impact evaluation indicators of academic articles,the coefficient of derivative impact is proposed to measure the derivative impact of academic articles.

关 键 词：社交媒体指标 引文指标 相关性分析 次生影响力系数 

分 类 号：G353.1[文化科学—情报学]