J Med Libr Assoc. 2022 Jan 1;110(1):103-108. doi: 10.5195/jmla.2022.1117.
An article's citations are useful for finding related articles that may not be readily found by keyword searches or textual similarity. Citation analysis is also important for analyzing scientific innovation and the structure of the biomedical literature. We wanted to facilitate citation analysis for the broad community by providing a user-friendly interface for accessing and analyzing citation data for biomedical articles.
We seeded the Citation Cloud dataset with over 465 million open access citations culled from six different sources: PubMed Central, Microsoft Academic Graph, ArnetMiner, Semantic Scholar, Open Citations, and the NIH iCite dataset. We implemented a free, public extension to PubMed that allows any user to visualize and analyze the entire citation cloud around any paper of interest A: the set of articles cited by A, those which cite A, those which are co-cited with A, and those which are bibliographically coupled to A.
Citation Cloud greatly enables the study of citations by the scientific community, including relatively advanced analyses (co-citations and bibliographic coupling) that cannot be undertaken using other available tools. The tool can be accessed by running any PubMed query on the Anne O'Tate value-added search interface and clicking on the Citations button next to any retrieved article.
文章的引文对于查找相关文章很有用，这些文章可能无法通过关键词搜索或文本相似性找到。引文分析对于分析科学创新和生物医学文献结构也很重要。我们希望通过为广大用户提供一个易于使用的界面来访问和分析生物医学文章的引文数据，从而促进引文分析。
我们使用来自六个不同来源的超过 4.65 亿条开放获取引文来为 Citation Cloud 数据集播种：PubMed Central、Microsoft Academic Graph、ArnetMiner、Semantic Scholar、Open Citations 和 NIH iCite 数据集。我们为 PubMed 实现了一个免费的公共扩展，允许任何用户可视化和分析任何感兴趣的论文周围的整个引文云：A 论文的引文集、引用 A 的论文、与 A 共同引用的论文以及与 A 书目耦合的论文。
引文云极大地促进了科学界对引文的研究，包括其他可用工具无法进行的相对先进的分析（共同引用和书目耦合）。该工具可以通过在 Anne O'Tate 增值搜索界面上运行任何 PubMed 查询，并点击检索到的任何文章旁边的引文按钮来访问。
