文獻計量指標的分類是情報學的基礎問題,傳統上往往是以主觀分類為主。文章以JCR 2015經濟學期刊為例,采用聚類分析、因子分析和主成分分析對文獻計量指標進行分類,得到多種不同的分類結果,并進行解釋。研究表明:客觀分類法有助于加強對文獻計量指標的理解;客觀分類法與主觀分類法要結合使用;聚類分析對文獻計量指標分類比因子和主成分分析有一定的優勢;并不是所有的客觀分類結果都有意義。

The classification of bibliometric indicators is the fundamental issue of information science,which is traditionally based on subjective classification. This paper takes the JCR 2015 economics journal for example and uses cluster analysis,factor analysis and principal component analysis to classify the bibliometric indicators. Different classification results are obtained and the results are explained. First,objective classification is helpful to strengthen the understanding of bibliometric indicators. Second,objective classification and subjective classification should be used in combination. Third,cluster analysis has advantages over factor analysis and principal component analysis in the classification of bibliometric indicators. And last,not all of the objective classification results are meaningful.