学科领域高被引与高下载论文的灰色关联分析——以概率论与数理统计学科为例

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

本文引入灰色关联分析法,探讨其在学科领域论文综合评价中的可行性。以CNKI中国学术期刊网络出版总库为数据源,以"概率论与数理统计"学科领域2015年发表的既是高被引又是高下载的论文数据为分析样本,以论文的被引次数、下载次数和载文期刊的影响因子为指标。采用箱线图法挑选出概率论与数理统计领域的高被引和高下载论文,采用灰色关联分析法对既是高被引又是高下载论文的评价指标进行综合计算,得出论文影响力的综合性评价指标关联度。结果表明:相比于单纯地以被引次数、下载次数、期刊影响因子等指标评价论文而言,关联度得到的结果更稳定,与聚类分析结果相比,该方法也更准确、客观,说明灰色关联分析法是评价学科领域论文的可行方法。

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.