期刊文献+

z指数评价学术期刊的适用性及其改进研究 被引量:25

Applicability and Improvement of the z-index to Evaluate Academic Journals
下载PDF
导出
摘要 z指数是从数量、质量、一致性角度进行评价的复合文献计量指标,分析其特点以及在期刊评价中的适用性具有重要意义。本文在分析z指数原理的基础上,基于图书馆情报与文献学CSSCI期刊,采用相关系数与偏最小二乘法回归对其特点进行分析。研究发现,z指数并不适合进行学术期刊评价,不能很好地体现质量与一致性视角,主要原因是被引集中度难以控制。本文提出采用低被引论文比的倒数代替被引集中度进行修正,并将其命名为zn指数。进一步的研究表明,zn指数克服了z指数的不足,评价效果较好;z指数在推广应用时要慎重进行选择;乘法合成类的复合指数往往灵敏度较高。本文提供了一种检验复合指数的研究范式。 The z-index is a composite bibliometric indicator that is evaluated based on quantity,quality,and consistency.An analysis of its characteristics and applicability to periodical evaluation is of great significance.Based on an analysis of the principles of the z-index and the CSSCI journals of Library and Information Sciences,this paper uses correlation coefficient and partial least square regression to analyze the characteristics of the z-index.It was found that the z-index is not suitable for the evaluation of an academic journal and cannot adequately reflect a perspective of quality and consistency,primarily because the concentration of works cited is too difficult to control.This paper proposed using the inverse of the low cited paper ratio instead of the cited concentration and named it the zn-index.Further research shows that the zn-index comprehensively enhances the z-index and has an improved effect on the evaluation.Moreover,the z-index should be selected carefully.Subsequently,the composite index of multiplication tends to have higher sensitivity.In conclusion,this paper provides a research paradigm for testing composite indexes.
作者 俞立平 王作功 Yu Liping;Wang Zuogong(School of Management Engineering and E-commerce,Zhejiang Gongshang University,Hangzhou 310018;School of Economics and Finance,Guizhou University of Finance and Economics,Guiyang 550025)
出处 《情报学报》 CSSCI CSCD 北大核心 2018年第11期1132-1139,共8页 Journal of the China Society for Scientific and Technical Information
基金 国家自然基金面上项目"基于子群视角的多指标群组集成技术研究"(71671165) 宁波市软科学课题"宁波创新驱动发展的评价体系与实施对策研究"(2017A10033)
关键词 Z指数 zn指数 学术期刊 偏最小二乘法 z-index zn-index academic journal partial least square
  • 相关文献

参考文献4

二级参考文献56

  • 1Ronald Rousseau,刘俊婉(翻译),马建华(审校).Hirsch指数研究的新进展[J].科学观察,2006,1(4):23-25. 被引量:80
  • 2金碧辉,Rousseau Ronald.R指数、AR指数:h指数功能扩展的补充指标[J].科学观察,2007,2(3):1-8. 被引量:179
  • 3吴勤.基于引证强度的学术论文质量评价方法研究[J].情报学报,2007,26(4):522-526. 被引量:29
  • 4加菲尔德.引文索引法的理论及应用[M].侯汉清,等译,北京:北京图书馆出版社,2004:8.
  • 5Janssens F,Zhang L, Moor B D, et al. Hybrid Clustering for Validation and Improvement of Subject-Classification Schemes [ J/OL ]. [ 2011-10-14 ]. ftp://ftp, esat. kuleuven, be/pub/SISTA/frizo/reports/Janssens_Zhang_ Glanzel_HybridClustering. pdf.
  • 6Morris S A, Van der Veer Martens B. Mapping research specialties. Annual Review of Information Science and Technology [ J ], 2008, Volume 42 : 213-295.
  • 7Shiffrin R M, Borner K. Mapping knowledge domains [J]. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101 ( Suppl. 1 ) : 5183-5185.
  • 8Yu S, Moor B D, Moreau Y. Clustering by heterogeneous data fusion : framework and applications [ J/OL ]. [ 2011- 11-3 ]. http ://web. mac. com/davidrh/LMS workshop08/ Schedule_files/% 5Bp% 5D% 20LMS 1. pdf.
  • 9Liu X H, Lathauwer L D, Janssens F, et al. Hybrid Clustering on Multiple Information Sources via HOSVD [ J/OL]. [ 2011-09-13 ]. ftp ://wgs. esat. kuleuven, ac. be/sista/xinhai/ HOSVD_ ISNN 10 . pdf.
  • 10任红娟.知识结构分析方法优化研究[D].北京:中国科学院文献情报中心,2010.

共引文献63

同被引文献287

引证文献25

二级引证文献108

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部