🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Bethany Percha

Icahn School of Medicine at Mount Sinai

ORCID: 0000-0003-0988-4183

Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation”.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Journal of Medical Internet Research(2020)10.2196/24018

N/A

0.823DataRank · unranked

240 citations

Sulaiman Somani, Adam Russak, Jessica K. De Freitas, Fayzan Chaudhry, Ishan Paranjpe +43 more

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Bioinformatics(2019)10.1093/bioinformatics/btz409

N/A

0.561DataRank · unranked

41 citations

Boris Oskotsky, Phyllis M Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson +19 more

Repurposing the atypical antidepressant trazodone for atherosclerotic cardiovascular disease

Research Square(2021)10.21203/rs.3.rs-567817/v1

N/A

0DataRank · unranked

0 citations

Jagat Narula, Khader Shameer, Farhan Chaudhry, Alexandre Yahi, Nayaab Khan +38 more