The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
The preeminence of ethnic diversity in scientific collaboration
Open accessAbstract
Inspired by the social and economic benefits of diversity, we analyze over 9 million papers and 6 million scientists to study the relationship between research impact and five classes of diversity: ethnicity, discipline, gender, affiliation, and academic age. Using randomized baseline models, we establish the presence of homophily in ethnicity, gender and affiliation. We then study the effect of diversity on scientific impact, as reflected in citations. Remarkably, of the classes considered, ethnic diversity had the strongest correlation with scientific impact. To further isolate the effects of ethnic diversity, we used randomized baseline models and again found a clear link between diversity and impact. To further support these findings, we use coarsened exact matching to compare the scientific impact of ethnically diverse papers and scientists with closely-matched control groups. Here, we find that ethnic diversity resulted in an impact gain of 10.63% for papers, and 47.67% for scientists.
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Cites
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567
SIMPSON, E. H. (1949) · Nature · doi:10.1038/163688a0 · Cited by 14,164
Jost, L. (2006) · Oikos · doi:10.1111/j.2006.0030-1299.14714.x · Cited by 4,669
The Nonconcept of Species Diversity: A Critique and Alternative Parameters
Hurlbert, S. H. (1971) · Ecology · doi:10.2307/1934145 · Cited by 4,183
The Increasing Dominance of Teams in Production of Knowledge
Wuchty, S., Jones, B. F., & Uzzi, B. (2007) · Science · doi:10.1126/science.1136099 · Cited by 3,615
Causal Inference without Balance Checking: Coarsened Exact Matching
Iacus, S. M., King, G., & Porro, G. (2012) · Political Analysis · doi:10.1093/pan/mpr013 · Cited by 3,563
Evidence for a Collective Intelligence Factor in the Performance of Human Groups
Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010) · Science · doi:10.1126/science.1193147 · Cited by 2,685
The difference: how the power of diversity creates better groups, firms, schools, and societies
(2007) · Choice Reviews Online · doi:10.5860/choice.45-1534 · Cited by 2,280
Groups of diverse problem solvers can outperform groups of high-ability problem solvers
Hong, L., & Page, S. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403723101 · Cited by 2,103
Research works printed but not linked: 1
- Brown, G. K. & Langer, A. Does affirmative action work: lessons from around the world. Foreign Aff. 94, 49 (2015).
Cited by
Artificial intelligence and illusions of understanding in scientific research
Messeri, L., & Crockett, M. J. (2024) · Nature · doi:10.1038/s41586-024-07146-0 · Cited by 707
The Diversity Gap: When Diversity Matters for Knowledge
Sulik, J., Bahrami, B., & Deroy, O. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916211006070 · Cited by 80
Nadri, R., Rodríguez-Pérez, G., & Nagappan, M. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2021.3073773 · Cited by 38
AlShebli, B., Makovi, K., & Rahwan, T. (2020) · Nature Communications · doi:10.1038/s41467-020-20617-y · Cited by 23
Self-citationRetractedShameer, S., Rodríguez-Pérez, G., & Nagappan, M. (2023) · Empirical Software Engineering · doi:10.1007/s10664-023-10313-y · Cited by 13
Metadata
- Authors
- AlShebli, B. K., Rahwan, T., & Woon, W. L.
- Venue
- Nature Communications
- Published
- 2018-12-04
- Volume
- 9
- Issue
- 1
- Pages
- 5163-5163
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3103058826
- Cited by
- 490
- References
- 51
- FWCI
- 26.26
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
