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

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Senait Teklehaimanot

Senait Teklehaimanot

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: “Detecting diabetic retinopathy through machine learning on electronic health record data from an urban, safety net healthcare system”.

Detecting diabetic retinopathy through machine learning on electronic health record data from an urban, safety net healthcare system

JAMIA Open(2021)10.1093/jamiaopen/ooab066

N/A

0DataRank · unranked

24 citations

Meghal Gandhi, Martin Lee, Senait Teklehaimanot, Lauren P. Daskivich, David Hindman +3 more

Use and outcomes of antihypertensive medication treatment in the US hypertensive population: A gender comparison

Health Promotion Perspectives(2023)10.34172/hpp.2023.17

N/A

0DataRank · unranked

7 citations

Shahbaz Khan, Shahrzad Bazargan‐Hejazi, Ernesto Ramirez, Senait Teklehaimanot, Sara Diab +3 more

An Observational Study Quantifying the Disproportionate Impact of COVID-19 Among Immigrant Adults, 2021 California Health Interview Survey

Public Health Reports(2023)10.1177/00333549231208485

N/A

0DataRank · unranked

2 citations

Senait Teklehaimanot, James G. Williams, Hafifa Siddiq