图书情报工作 ›› 2015, Vol. 59 ›› Issue (4): 93-99.DOI: 10.13266/j.issn.0252-3116.2015.04.014

• 情报研究 • 上一篇    下一篇

Jfactor及其与传统文献计量指标的关系

鲍玉芳1,2, 马建霞1   

  1. 1. 中国科学院兰州文献情报中心 兰州 730000;
    2. 中国科学院大学 北京 100049
  • 收稿日期:2015-01-12 修回日期:2015-02-05 出版日期:2015-02-20 发布日期:2015-02-20
  • 通讯作者: 马建霞(ORCID:0000-0002-5401-9992),学科咨询部主任,研究馆员,硕士生导师,E-mail:majx@126.ac.cn
  • 作者简介:鲍玉芳(ORCID:0000-0002-6684-4578),硕士研究生。
  • 基金资助:

    本文系国家自然科学基金项目"基于科学基金项目及知识产出的研究前沿探测"(项目编号:71373260)和中国科学院西部之光联合学者项目"基于计算情报方法的甘肃省战略新兴产业技术创新竞争与发展研究"(项目编号:Y200201001)研究成果之一。

The Correlation Analysis Between Jfactor and Other Informetrics Indicators

Bao Yufang1,2, Ma Jianxia1   

  1. 1. Lanzhou Library of Chinese Academy of Sciences, Lanzhou 730000;
    2. University of Chinese Academy of Sciences, Beijing 100049
  • Received:2015-01-12 Revised:2015-02-05 Online:2015-02-20 Published:2015-02-20

摘要:

[目的/意义] 研究基于开放式引文数据库提出的新型期刊评价指标Jfactor以及其与传统文献计量学指标的关系,分析Jfactor的特点,并对我国期刊评价提出启示。[方法/过程] 结合统计学方法,利用SPSS软件对高能物理领域期刊的指标数据进行相关性分析,主要包括Jfactor与impact factor、5-year impact factor、eigenfactor score,同时将指标之间作比较研究。[结果/结论] 相关分析结果表明,Jfactor与impact factor相关性最强,其次是5-year impact factor,与eigenfactor score的相关性相对最弱。相对于impact factor,Jfactor的计算数据更加透明,而且充分考虑了开放数据对论文引用的影响,对我国期刊评价具有重要的研究价值。

关键词: Jfactor, 期刊评价, 相关性, 计量指标

Abstract:

[Purpose/significance] Jfactor based on open citation database is proposed to assess the journal impact. The paper aims to analyze the correlation between Jfactor and other informetrics indicators and study how to apply Jfactor into journal evaluation in China. [Method/process] Using correlation analysis method, studied the correlation between Jfactor and other informetrics indicators, mainly including impact factor, 5-year impact factor and eigenfactor score.[Result/conclusion] Taking journals in high energy physics as an example, the result shows that Jfactor has the higher correlation with impact factor than 5-year impact factor and eigenfactor score. The data that used to calculate Jfactor is more transparent and public. Jfactor combines impact factor with open data plenty and is a valuable benchmark for journal evaluation in China.

Key words: Jfactor, journal evaluation, correlation, informetrics indicators

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