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Normalizing Book Citations in Google Scholar: A Hybrid Cited-side Citing-side Method
Journal of Data and Information Science Pub Date : 2019-06-07 , DOI: 10.2478/jdis-2019-0007
John Mingers 1 , Eren Kaymaz 1
Affiliation  

Abstract Purpose To design and test a method for normalizing book citations in Google Scholar. Design/methodology/approach A hybrid citing-side, cited-side normalization method was developed and this was tested on a sample of 285 research monographs. The results were analyzed and conclusions drawn. Findings The method was technically feasible but required extensive manual intervention because of the poor quality of the Google Scholar data. Research limitations The sample of books was limited and also all were from one discipline —business and management. Also, the method has only been tested on Google Scholar, it would be useful to test it on Web of Science or Scopus. Practical limitations Google Scholar is a poor source of data although it does cover a much wider range citation sources that other databases. Originality/value This is the first method that has been developed specifically for normalizing books which have so far not been able to be normalized.

中文翻译:

在Google学术搜索中规范图书引文:一种混合的引文侧引文方法

摘要目的设计和测试一种在Google学术搜索中规范图书引用的方法。设计/方法学/方法开发了一种混合引用方,引用方归一化方法,并在285个研究专着的样本上进行了测试。分析结果并得出结论。结果该方法在技术上是可行的,但由于Google学术搜索数据的质量较差,因此需要大量的人工干预。研究局限性书籍样本有限,而且全都来自一门学科-商业和管理。此外,该方法仅在Google Scholar中经过测试,在Web of Science或Scopus上进行测试将很有用。实际局限性尽管Google Scholar确实涵盖了比其他数据库更广泛的引文来源,但它是数据的不良来源。
更新日期:2019-06-07
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