Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America.
Research Intelligence, Elsevier B.V., Amsterdam, the Netherlands.
PLoS Biol. 2019 Aug 12;17(8):e3000384. doi: 10.1371/journal.pbio.3000384. eCollection 2019 Aug.
Citation metrics are widely used and misused. We have created a publicly available database of 100,000 top scientists that provides standardized information on citations, h-index, coauthorship-adjusted hm-index, citations to papers in different authorship positions, and a composite indicator. Separate data are shown for career-long and single-year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 176 subfields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least five papers. Career-long data are updated to end of 2017 and to end of 2018 for comparison.
引文计量指标被广泛应用，但也被误用。我们创建了一个包含 10 万名顶尖科学家的公开数据库，其中提供了标准化的引文、h 指数、合著调整后的 hm 指数、不同作者位置论文的引文以及综合指标等信息。分别展示了终身影响和单年影响的数据。给出了包含和不包含自引的指标以及引文与被引论文的比例。科学家们被分为 22 个科学领域和 176 个细分领域。对于至少发表过五篇论文的所有科学家，还提供了领域和子领域特定的百分位数。终身数据更新至 2017 年底和 2018 年底，以便进行比较。
