Databases are the discovery mechanisms used for searching and browsing scholarly information. Citings to Science, Technology, Engineering, and Mathematics (STEM) databases used by computer scientists, engineers, and mathematicians were analyzed for coverage and impact in the literature. This study uses the Web of Science (WoS) database to conduct a cited reference search to ACM Digital Library, Engineering Village, IEEE Xplore, and MathSciNet. The respective citation counts were compared by document types, publication year, language, country, organization, WoS category, and source title. The resulting low citation counts and lack of reference formatting agreement to these databases were in line with the predicted hypothesis. The impact of STEM databases in citations appears to be undercounted since they are not often included in citations. This article is intended to spark debate on the practice of citing databases in scholarly publications.

数据库是用于搜索和浏览学术信息的发现机制。分析了计算机科学家，工程师和数学家使用的对科学，技术，工程和数学（STEM）数据库的引用在文献中的覆盖范围和影响。这项研究使用Web of Science（WoS）数据库对ACM数字图书馆，IEEE Xplore工程村的ACM数字图书馆进行引用搜索和MathSciNet。通过文档类型，出版年份，语言，国家/地区，组织，WoS类别和来源标题对相应的引用计数进行了比较。导致的引文数量少和对这些数据库的参考格式约定不足，符合预测的假设。STEM数据库在引用中的影响似乎被低估了，因为它们通常不包含在引用中。本文旨在引发有关学术出版物中引用数据库实践的辩论。