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Combining full text and bibliometric information in mapping scientific disciplines

机译:在制图科学学科中结合全文和文献计量信息

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摘要

In the present study results of an earlier pilot study by Glenisson, Glanzel and Persson are extended on the basis of larger sets of papers. Full text analysis and traditional bibliometric methods are serially combined to improve the efficiency of the two individual methods. The text mining methodology already introduced in the pilot study is applied to the complete publication year 2003 of the journal Scientometrics. Altogether 85 documents that can be considered research articles or notes have been selected for this exercise. The outcomes confirm the main results of the pilot study, namely, that such hybrid methodology can be applied to both research evaluation and information retrieval. Nevertheless, Scientometrics documents published in 2003 cover a much broader and more heterogeneous spectrum of bibliometrics and related research than those analysed in the pilot study. A modified subject classification based on the scheme used in an earlier study by Schoepflin and Glanzel has been applied for validation purposes. (c) 2005 Elsevier Ltd. All rights reserved.
机译:在本研究中,Glenisson,Glanzel和Persson进行的早期试点研究的结果在大量论文的基础上得到了扩展。全文分析和传统文献计量方法相结合,以提高两种方法的效率。在试点研究中已经引入的文本挖掘方法已应用于Scientometrics杂志的完整出版年份2003。此练习共选择了85篇可以视为研究文章或注释的文档。结果证实了初步研究的主要结果,即这种混合方法可以应用于研究评估和信息检索。尽管如此,2003年出版的Scientometrics文件所涵盖的文献计量学和相关研究范围却比试点研究中所分析的更为广泛和更加多样化。基于Schoepflin和Glanzel在较早研究中使用的方案的修改后的主题分类已用于验证目的。 (c)2005 Elsevier Ltd.保留所有权利。

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