uCite:九个大型公共PubMed引用数据集的联合,具有可靠性过
Liri Fang1, Malik Oyewale Salami1, Griffin M Weber2
1School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.
Data in brief
|May 5, 2025
概括
一个新的引用数据集,uCite,结合了来自九个来源的5.64亿个PubMed引用. 它确定9%的引用是不可靠的,为研究人员提供了更好的覆盖范围和可靠性见解.
科学领域:
- 图书统计学 图书统计学
- 数据科学数据科学数据科学
- 学术传播学术交流
背景情况:
- 越来越需要全面和可访问的文献引用数据.
- 现有的引用数据集在覆盖范围,精度和回忆方面各不相同.
研究的目的:
- 介绍uCite,一个大规模的引用数据集.
- 汇总和分析来自不同来源的PubMed引用对.
- 评估聚合引用数据的可靠性和覆盖范围.
主要方法:
- 从九个来源收集了5.64亿个PubMed引用对.
- 根据数据差异和错误确定了不可靠的引用.
- 与 Web of Science 和 Scopus 等已建立的数据库进行精度和回忆的比较.
主要成果:
- uCite数据集包含5.64亿个PubMed引用对.
- 9% (5100万) 的引用被标记为不可靠.
- 每个来源都为覆盖范围和可靠性做出了独特的贡献.
结论:
- uCite为图书统计分析提供了宝贵的资源.
- 了解引用数据的可靠性对于研究至关重要.
- 数据集可以比较不同的引用来源.
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