Liri Fang , Malik Oyewale Salami , Griffin M. Weber , Vetle I. Torvik
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引用次数: 0
摘要
最近一直在推动书目引文数据的公开、汇总和增加覆盖范围。uCite是一个包含5.64亿PubMed引文对的引文数据集,汇集了以下九个来源:PubMed Central、iCite、OpenCitations、Dimensions、Microsoft Academic Graph、Aminer、Semantic Scholar、Lens和OpCitance。其中,5100万篇(9%)被标记为不可靠,这是由模棱两可的元数据、人行横道和印刷错误解释的来源差异模式所决定的,引用了未来的出版物和多篇论文。每个来源都有助于提高覆盖范围和可靠性,但在准确性和召回率方面差异很大,这与本文的Web of Science和Scopus进行了对比。
uCite: The union of nine large-scale public PubMed citation datasets with reliability filtering
There has been a recent push to make public, aggregate, and increase coverage of bibliographic citation data. Here we describe uCite, a citation dataset containing 564 million PubMed citation pairs aggregated from the following nine sources: PubMed Central, iCite, OpenCitations, Dimensions, Microsoft Academic Graph, Aminer, Semantic Scholar, Lens, and OpCitance. Of these, 51 million (9%) were labeled unreliable, as determined by patterns of source discrepancies explained by ambiguous metadata, crosswalk, and typographical errors, citing future publications, and multi-paper documents. Each source contributes to improved coverage and reliability, but varies dramatically in precision and recall, estimates of which are contrasted with the Web of Science and Scopus herein.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.