论文标题
将网络科学文章重新分类为独特的主题类别和广泛学科的实用方法
Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines
论文作者
论文摘要
大型数据库中的书目项目中的书目项目对许多定量科学研究至关重要。众所周知，〜250个学科类别的期刊网络分类为250个主题类别，这些类别已成为许多研究的基础，它们存在一些基本问题和一些实际局限性，可能会影响此类研究的结果。在这里，我们提出了一种易于再现的方法，将网络科学的重新分类为现有主题类别，并将其分为14个广泛领域。我们的重新分类是在一系列文章中，因此它可以保留同一期刊上发表的单个文章之间可能存在的学科差异。重新分类还消除了50％项目的模棱两可（多个）类别，并将纪律/现场类别分配给来自大自然和科学等广泛期刊的所有文章。手动评估分配的主题类别的正确性，发现约为95％。
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%.
