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

Vera Pervitsky

University of North Carolina at Chapel Hill

ORCID: 0000-0002-1939-4420
MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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 5%percentile
0.535Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug–Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19

Journal of Chemical Information and Modeling(2021)10.1021/acs.jcim.1c01285
Top 48%
0.370DataRank
Top 48%5 citations

Vera Pervitsky, Tesia Bobrowski, Vinícius M. Alves, Charles Schmitt, Chris Bizon +6 more

Papers

Driven by 5 papers — median percentile 30. Top paper: “Knowledge-based approaches to drug discovery for rare diseases”.

Knowledge-based approaches to drug discovery for rare diseases

Drug Discovery Today(2021)10.1016/j.drudis.2021.10.014
N/A
0.564DataRank · unranked
42 citations

Daniel Korn, Vera Pervitsky, Andrew Thieme, Stephen J. Capuzzi, Nancy Baker +6 more

COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug–Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19

Journal of Chemical Information and Modeling(2021)10.1021/acs.jcim.1c01285
Top 48%
0.370DataRank
Top 48%5 citations

Vera Pervitsky, Tesia Bobrowski, Vinícius M. Alves, Charles Schmitt, Chris Bizon +6 more

COVID-19 Knowledge Extractor (COKE): A Tool and a Web Portal to Extract Drug - Target Protein Associations from the CORD-19 Corpus of Scientific Publications on COVID-19

ChemRxiv(2020)10.26434/chemrxiv.13289222.v1
Top 70%
0.165DataRank
Top 70%2 citations

Vera Pervitsky, Tesia Bobrowski, Vinícius M. Alves, Charles Schmitt, Cristopher Bizon +6 more

COVID-19 Knowledge Extractor (COKE): A Tool and a Web Portal to Extract Drug - Target Protein Associations from the CORD-19 Corpus of Scientific Publications on COVID-19

ChemRxiv(2020)10.26434/chemrxiv.13289222
Top 100%
0DataRank
Top 100%0 citations

Vera Pervitsky, Tesia Bobrowski, Vinícius M. Alves, Charles Schmitt, Cristopher Bizon +6 more

Knowledge-based approaches to drug discovery for rare diseases

UNC Libraries(2024)10.17615/wgqe-x048
N/A
0DataRank · unranked
1 citations

Andrew Thieme, Alexander Tropsha, Eugene Muratov, Vera Pervitsky, Stephen J. Capuzzi +6 more