Journal of Guangxi Normal University(Natural Science Edition) ›› 2018, Vol. 36 ›› Issue (4): 76-83.doi: 10.16088/j.issn.1001-6600.2018.04.010

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Grey Correlation Analysis on the High-Citation and High-DownloadPapers of Subject Field: A Case of Probability and Mathematical Statistics

ZHENG Lixia1, LIN Fang1 , YANG Shanchao2*   

  1. 1.Library of Guangxi Normal University, Guilin Guangxi 541004, China;
    2.College of Mathematics and Statistics,Guangxi Normal University, Guilin Guangxi 541006,China
  • Received:2018-05-16 Published:2018-10-20

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Abstract: In this paper, grey correlation analysis is introduced to evaluate the feasibility of the comprehensive evaluation of an article. CNKI China academic journal network publishing pool is taken as data source. A set of highly cited and highly downloaded paper samples published in 2015 are used for analysis in the field of theory and mathematical statistics subject. The citations, downloaded times of papers and the impact factor of paper-carried journal are taken as target. The highly cited and highly downloaded papers are selected by using Boxplot method in the field of theory and mathematical statistics subject. The grey relational analysis method is used to calculate the evaluation index of highly cited and highly downloaded papers synthetically to obtain the degree of association of the comprehensive evaluation index of the paper′s influence. Results demonstrate that the results using correlation are more stable, accurate and objective in evaluating paper than using citations.

Key words: academic papers evaluation, grey correlation analysis, correlation, China academic journal network publishing database

CLC Number: 

  • G350
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