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文献计量指标的分类是情报学的基础问题,传统上往往是以主观分类为主。文章以JCR 2015经济学期刊为例,采用聚类分析、因子分析和主成分分析对文献计量指标进行分类,得到多种不同的分类结果,并进行解释。研究表明:客观分类法有助于加强对文献计量指标的理解;客观分类法与主观分类法要结合使用;聚类分析对文献计量指标分类比因子和主成分分析有一定的优势;并不是所有的客观分类结果都有意义。
The classification of bibliometric indicators is the basic issue of information science, traditionally often subjective classification based. Taking JCR 2015 Economics Journals as an example, the article uses cluster analysis, factor analysis and principal component analysis to classify the bibliometric indicators and obtain many different classification results and explain them. The research shows that objective classification helps to strengthen the comprehension of bibliometric indicators; objective classification and subjective classification should be combined; cluster analysis has some advantages over bivariate and principal component analysis; not all Objective classification results have meaning.