中国科技期刊研究 ›› 2019, Vol. 30 ›› Issue (4): 426-431.doi: 10.11946/cjstp.201809270856

• 评价与分析 • 上一篇    下一篇

文献关键词分布特征与期刊学术质量的关系

李秀霞1),程结晶2),邵作运3)   

  1. 1) 曲阜师范大学传媒学院, 山东省日照市烟台路80号 276826
    2) 扬州大学社会发展学院, 江苏省扬州市四望亭路180号 225008
    3) 曲阜师范大学图书馆, 山东省日照市烟台路80号 276826
  • 收稿日期:2018-09-27 修回日期:2019-01-01 出版日期:2019-04-28 发布日期:2019-04-15
  • 作者简介:李秀霞(ORCID:0000-0002-3492-4768),硕士,教授,硕士生导师,E-mail: zyshao@126.com|邵作运,硕士,副研究馆员。
  • 基金资助:
    国家社会科学基金(16BTQ074)

Relationship between distribution characteristics of keywords in journal literature and academic quality of journals

LI Xiuxia1),CHENG Jiejing2),SHAO Zuoyun3)   

  1. 1) School of Communication, Qufu Normal University, 80 Yantai Road, Rizhao 276826, China
    2) College of Social Sciences, Yangzhou University, 180 Siwangting Road, Yangzhou 225008, China
    3) Library of Qufu Normal University, 80 Yantai Road, Rizhao 276826, China
  • Received:2018-09-27 Revised:2019-01-01 Online:2019-04-28 Published:2019-04-15

摘要:

目的 分析一段时间内期刊文献关键词的分布特征,探析期刊文献关键词分布特征与期刊学术质量之间的关系。方法 选用曲线拟合法分析学术期刊关键词的分布规律。以我国15种情报学期刊为例,提取期刊刊载文献的关键词;在Excel中进行曲线拟合,获取学术期刊关键词分布的幂函数方程;分析期刊关键词分布的幂函数方程的参数(包括指数和系数)与期刊学术质量之间的关系。结果 我国情报学期刊的关键词呈典型的负幂函数分布,负幂函数方程的参数与期刊影响因子、综合评价值之间具有显著的相关性。 结论 期刊关键词分布的负幂函数方程的参数可作为期刊学术质量评价的指标之一。

关键词: 负幂函数, 曲线拟合, 分布, 期刊学术质量

Abstract:

[Purposes] This paper analyses the distribution characteristics of keywords in journal literature over a period of time, and explores the relationship between the distribution characteristics and the academic quality of journals. [Methods] The curve fitting method was used to analyze the distribution of keywords in academic journals. Taking 15 journals of information science in China as examples, we extracted the keywords of each journal, fitted the curve in Excel to obtain the power function equation of the academic journals, and analyzed the relationship between the parameters of power function equation (exponent and coefficient) and journal academic quality. [Findings] The distribution curves of keywords in Chinese information science journals are typical negative power function curves. And the parameters of negative power function equation have significant correlation with journal impact factors and comprehensive evaluation index values. [Conclusions] The parameters of the negative power function equation about the journal keywords distribution can be used as one of the indexes for evaluating the academic quality of journals.

Key words: Negative power function, Curve fitting, distribution, Academic quality of journal