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Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines
arXiv - CS - Digital Libraries Pub Date : 2020-01-08 , DOI: arxiv-2001.02733
Sta\v{s}a Milojevi\'c

Classification of bibliographic items into subjects and disciplines in large databases is essential for many quantitative science studies. The Web of Science classification of journals into ~250 subject categories, which has served as a basis for many studies, is known to have some fundamental problems and several practical limitations that may affect the results from such studies. Here we present an easily reproducible method to perform reclassification of the Web of Science into existing subject categories and into 14 broad areas. Our reclassification is at a level of articles, so it preserves disciplinary differences that may exist among individual articles published in the same journal. Reclassification also eliminates ambiguous (multiple) categories that are found for 50% of items, and assigns a discipline/field category to all articles that come from broad-coverage journals such as Nature and Science. The correctness of the assigned subject categories is evaluated manually and is found to be ~95%.

中文翻译:

将 Web of Science 文章重新分类为独特学科类别和广泛学科的实用方法

在大型数据库中将书目项目分类为主题和学科对于许多定量科学研究至关重要。众所周知,Web of Science 将期刊分为约 250 个学科类别,作为许多研究的基础,已知存在一些可能影响此类研究结果的基本问题和一些实际限制。在这里,我们提出了一种易于重现的方法,可将 Web of Science 重新分类为现有的学科类别和 14 个广泛的领域。我们的重新分类是在文章级别上进行的,因此它保留了同一期刊上发表的个别文章之间可能存在的学科差异。重新分类还消除了为 50% 的项目找到的模糊(多个)类别,并为来自广泛覆盖的期刊(如自然和科学)的所有文章分配一个学科/领域类别。手动评估分配的主题类别的正确性,发现约为 95%。
更新日期:2020-01-10
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