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Association Between Author Diversity and Acceptance Rates and Citations in Peer‐Reviewed Earth Science Manuscripts

机译:对同伴审查的地球科学手稿的作者多样性和接受率和引用之间的关联

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The scientific community is becoming more demographically diverse, and team science is becoming more common. Here, we compare metrics of success in academic research, acceptance rates, and citations, among/across differing team compositions regarding demographic diversity. We collected the final decisions and citations as of 2019 of 91,427 manuscripts submitted from 2012–2018 to journals published by the American Geophysical Union. We matched the authors by email on each manuscript to self‐provided demographic information within the American Geophysical Union's membership database. This resulted in 20,940 manuscripts matched to nation, gender, and career stage, and 6,015 manuscripts matched to race/ethnicity for manuscripts in which the entire authorship team was affiliated with the United States. Among similar sized authorship teams (teams of two to four), acceptance rates were 2.7, 4.5, and 0.9% higher (pnation??0.01, pgender??0.05, pcareer stage?=?0.51) with more than one nation, gender, and career stage, respectively, than nondiverse authorship teams. Diverse papers had 1.2 more citations for international teams than single‐nation teams (pnation??0.01). There were 0.4 and 1.0 fewer citations for authorship teams with more than one gender or career stage than manuscripts with one gender or career stage (pgender?=?0.21, pcareer stage?=?0.36). Racially/ethnically diverse teams were associated with 5.5% lower acceptance rates (p??0.01) and 0.8 fewer citations (p?=?0.15) than racially/ethnically homogenous teams. Although not every difference is statistically significant, the overall results are consistent with the notion that diversity can benefit science, but equitable practices and inclusive cultures must also be fostered. Plain Language Summary This manuscript uses publication data from a large disciplinary scientific publisher, combined with self‐reported demographic information, to understand team diversity as related to scientific outcomes. Acceptance rates and citations are used here to measure the quality of science and impact of a study on the scientific community. We find that in the case of nation, gender, and age diversity, demographically mixed teams have better outcomes. When U.S. author teams have multiracial/multiethnic teams, these scientific outcomes are lower than single‐race/ethnicity teams. This is important to reinforce that diversity has the capacity to better science, but also, critically, diversity must be understood within other social contexts regarding opportunity, networks, and resource distribution.
机译:科学界正在越来越多样化,团队科学变得越来越普遍。在这里,我们比较学术研究,接受率和引文的成功度量,与人口统计多样性不同的团队组成。在2012 - 2018年从2012 - 2018年提交的2012 - 2018年提交的2012年稿件中的最终决定和引文收取了美国地球物理联盟发表的期刊。我们通过电子邮件将作者与每个稿件的电子邮件匹配,以在美国地球物理联盟的会员数据库中提供自助人口统计信息。这导致了与国家,性别和职业阶段相匹配的20,940件稿件,6,015个稿件与种族/种族进行了比赛/种族,其中整个作者团队与美国隶属于美国。在类似大小的作者团队(两到四队)中,接受率为2.7,4.5和0.9%(PNation?<?0.01,Pgender?<?0.05,PCIEREER阶段?=?0.51),具有不止一个国家​​,性别和职业阶段分别超过非凡的作者团队。不同的论文比单一国家团队(Pnation?<0.01)更多的纸张更多的纸张。对于具有一个性别或职业阶段的手稿(pgender?= 0.21,Pcareer Stage?=?0.36),有0.4和1.0的文凭团队的作者队伍或1.0款。种族/种族多样的团队与验收率降低5.5%(P?<0.01)和0.8的引文(P?= 0.15),而不是种族/日常均匀的团队。虽然并非各种差异是统计上显着的,但整体结果与多样性可以受益科学的概念一致,但也必须促进公平的实践和包容性文化。简单语言摘要本手稿使用来自大型纪律科学出版商的出版物数据,与自我报告的人口统计信息相结合,以了解与科学成果相关的团队多样性。在此处使用验收率和引用来衡量科学界的科学质量和影响。我们发现,在国家,性别和年龄多样性的情况下,人群混合团队具有更好的结果。当美国作者团队有多种族/多种团队时,这些科学成果低于单种族/种族队伍。这对加强多样性具有更好的科学能力,而且,批判性地,必须在有关机遇,网络和资源分布的其他社会背景下理解多样性。

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