期刊评价指标实证研究  

Empirical Research on Indictors for Journal Assessment

作　　者：宋丽萍[1] 王建芳[2] 

机构地区：[1]天津师范大学管理学院,天津300387 [2]中国科学院国家科学图书馆,北京100080

出　　处：《图书情报知识》2013年第3期74-80,共7页Documentation,Information & Knowledge

基　　金：国家社会科学基金项目"科技政策视角下科学评价指标及方法研究"(12BTQ033)的研究成果之一

摘　　要：本文选取F1000数据库中免疫学与生物信息学论文近2000篇,通过相关分析、聚类分析以及因子分析将对应260种期刊的影响因子、5年期影响因子、特征因子、论文影响分值、即时指数、SJR、SNIP、期刊h-指数进行相关性检验及分类,并对各项指标与同行评议结果即F1000因子进行相似性比较。结果表明各项指标虽源于WoS和Scopus不同数据库,计算方法也不尽相同,但其间具有较好的一致性,从而为WoS与Scopus在科学评价中的可选择性与替代性提供依据。本文论述中结合期刊评价进化历程,并通过各项指标优缺点的剖析,指出期刊评价的发展趋向。Together with the impact factor , EigenfactorTM score, Article InfluenceTM score ,5-year impact factor,immedi- acy factor,SCImago Journal Rank indicator, Source normalized impact per paper and the journal h-index of 260 journals listed in the title of immunology and bioinformatics in F1000 are collected. And then, correlation test ,cluster analysis and factor a- nalysis are used. Results show that although those indicators are calculated with different methods and even use different da- tabases, they are strongly correlated with the WoS IF and among each other. It indicates the feasibility of using free alterna- tives to the Web of Science for evaluating scientific journals. The article discusses the indicators in combination with the evo- lution of journal evaluation, and points out the trend of journal assessment through the analysis of strengths and weaknesses of those indicators.

关 键 词：影响因子特征因子论文影响力 半衰期 即时指数SJR SNIP期刊h-指数 

分 类 号：G203[文化科学—传播学]