图书情报工作 ›› 2014, Vol. 58 ›› Issue (19): 100-104.DOI: 10.13266/j.issn.0252-3116.2014.19.015

• 情报研究 • 上一篇    下一篇

论文零被引率与期刊影响力关系的研究——以经济学学科为例

唐晓莉, 武群芳, 王继民   

  1. 北京大学信息管理系
  • 收稿日期:2014-07-28 修回日期:2014-08-28 出版日期:2014-10-05 发布日期:2014-10-05
  • 通讯作者: 王继民,北京大学信息管理系教授,通讯作者,E-mail:wjm@pku.edu.cn
  • 作者简介:唐晓莉,北京大学信息管理系硕士研究生;武群芳,北京大学信息管理系硕士研究生。
  • 基金资助:

    本文系ISTIC-ELSEVIER期刊评价研究中心开放基金资助研究成果之一。

Relationship Between Non-cited Rates and Journal Evaluation Indicators: A Case Study in Economics

Tang Xiaoli, Wu Qunfang, Wang Jimin   

  1. Department of Information Management, Peking University, Beijing 100871
  • Received:2014-07-28 Revised:2014-08-28 Online:2014-10-05 Published:2014-10-05

摘要:

现行期刊的评价指标以正向评价指标为主。为探究期刊的反向评价指标,研究与高被引论文相对应的零被引论文的占比情况与期刊影响力的关系,基于Web of Knowledge数据库中的经济学学科发文量位居前10位的期刊所发表的论文在2-6年后的零被引率,并通过相关分析探究其与JCR 2012年期刊评价指标的相关关系,包括影响因子、总被引频次、5年影响因子和h指数等指标,并探究其变化趋势与时间窗口间的关系。研究结果表明:期刊零被引率用于期刊反向评价是合理的,对于经济学这种综合实力较强的学科,时间窗口定为2-3年更为合理,随着年限的变长,论文零被引率与期刊的综合实力的关系越来越弱。

关键词: 零被引, 期刊评价, 时间窗口, 相关性

Abstract:

The current journal evaluation indicators are mainly positive. In order to explore the possibility to evaluate journals in a reverse way, based on the current study, the Web of Knowledge's searching results are used to analyze the top ten papers published in economics journals according to the JCR 2012 evaluating result. The 2-6 years non-cited rates are calculated to compare with journal evaluation indicators, such as impact factor, five-year impact factor, h-index, article influence score and some other indicators by correlation analysis. And the relationship between the trend and time window is also being discussed. The results indicate that it is rational to use non-cited rates for reversed journal evaluation. For a strong discipline like economics, a time window of 2-3 years may be more reasonable. The study also finds that as the longer the paper being published, the weaker relationship the non-cited rates have between the journal evaluation indicators.

Key words: non-cited rates, journal evaluation, time window, correlation

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