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Welcome to the Hutchins Lab

A member of the UW-Madison Metascience Research Lab

We seek avenues to improve the research enterprise and accelerate biomedical research advances using quantitative analysis of information networks and machine learning. Prof. Hutchins previously worked as a data scientist at NIH, where he developed the iCite bibliometrics dashboard, along with many of its quantitative metrics and the NIH Open Citation Collection database. He also spearheaded the development of the NIH COVID-19 Portfolio to track and disseminate cutting-edge COVID-19 research in real time.

Selected Publications

iCite profile

Nelson, Lindsay et al. “Robustness of evidence reported in preprints during peer review”, Lancet Glob Health 2022 10:e1684-87 doi:10.1016/S2214-109X(22)00368-0 PMID:36240832

Hoppe, Travis A. et al. “Predicting causal citations without full text”, bioRxiv 2022 doi:10.1101/2022.07.05.498860

Hutchins, B Ian. “A tipping point for open citation data.” Quantitative Science Studies vol. 2(2):00138 2021, doi: 10.1162/qss_c_00138 PMID:34505061

Hutchins, B Ian et al. “Predicting translational progress in biomedical research.” PLoS biology vol. 17,10 e3000416. 10 Oct. 2019 doi:10.1371/journal.pbio.3000416 PMID:31600189

Hoppe, Travis A et al. “Topic choice contributes to the lower rate of NIH awards to African-American/black scientists.” Science advances vol. 5,10 eaaw7238. 9 Oct. 2019, doi:10.1126/sciadv.aaw7238 PMID:31633016

Hutchins, B Ian et al. “The NIH Open Citation Collection: A public access, broad coverage resource.” PLoS biology vol. 17,10 e3000385. 10 Oct. 2019, doi:10.1371/journal.pbio.3000385 PMID:31600197

Hutchins, B Ian et al. “Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level.” PLoS biology vol. 14,9 e1002541. 6 Sep. 2016, doi:10.1371/journal.pbio.1002541 PMID:27599104