Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Driven by 1 paper. Top paper: “The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset”.
Kollin W. Rott, Eric Hurwitz, Ken M. Kunisaki, Jing Sun, Kenneth J. Wilkins +93 more