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An analysis of in-text citations based on fractional counting
Journal of Informetrics ( IF 3.7 ) Pub Date : 2020-06-24 , DOI: 10.1016/j.joi.2020.101070
Chol Myong Pak , Weibin Wang , Guang Yu

With the development of citation analysis, the analysis of in-text citations is getting more important. There can be many references in the bibliography of a paper, but the way that each reference is mentioned within the full text of a paper is different. Some references are mentioned together with other references, and some references are mentioned alone. That is, a citation sentence can include only one reference or several references. However, the citation sentence gives readers a description. Thus, it is necessary to examine in-text citations by considering the way that each reference is mentioned within the full text. From this point of view, we introduce two counting methods (full counting and fractional counting) to examine in-text citations and compare the two counting methods. The number of in-text citations according to full counting was approximately 1.448 times larger than that according to fractional counting. The results show that the majority of in-text citations are independent, and the majority of references that have no independent mentions are mentioned only once. The results also show that most of the multiple mentioned references have high mention frequencies according to both full counting and fractional counting.



中文翻译:

基于分数计数的文本引用分析

随着引文分析的发展,文本引文的分析变得越来越重要。论文的参考书目中可能有很多参考文献,但是在论文全文中提及每个参考文献的方式是不同的。一些参考文献与其他参考文献一起被提及,并且一些参考文献被单独提及。也就是说,引用句子只能包含一个或多个参考。但是,引文句子为读者提供了描述。因此,有必要通过考虑全文中提到每个参考文献的方式来检查文本引用。从这个角度出发,我们介绍了两种计数方法(完全计数和分数计数)来检查文本引用并比较这两种计数方法。根据全盘点算的文字引用次数大约是按分数盘点测的文字引用次数的1.448倍。结果表明,大多数文本引用都是独立的,而大多数没有独立提及的参考文献仅被提及一次。结果还表明,根据完全计数和分数计数,大多数提到的参考文献中都有很高的提及频率。

更新日期:2020-06-24
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