图书情报知识 ›› 2013, Vol. 0 ›› Issue (3): 74-80.

• 情报、信息与共享 • 上一篇    下一篇

期刊评价指标实证研究

宋丽萍,王建芳   

Empirical Research on Indictors for Journal Assessment

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。

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

Abstract:

Together with the impact factor , EigenfactorTMscore、Article InfluenceTMscore 、5-year impact factor、immediacy 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 analysis are used. Results show that although those indicators are calculated with different methods and even use different databases, they are strongly correlated with the WoS IF and among each other. It indicates the feasibility of using free alternatives to the Web of Science for evaluating scientific journals. The article discusses the indicators in combination with the evolution of journal evaluation, and points out the trend of journal assessment through the analysis of strengths and weaknesses of those indicators.

Key words: Impact factor, EigenfactorTM score, Article InfluenceTM score, 5-year impact factor, Immediacy factor, SCImago Journal Rank indicator, Source normalized impact per paper, The journal hindex