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

Thomas Maulhardt

University of Freiburg

ORCID: 0000-0003-3184-1366

Also affiliated with Universitäts-Herzzentrum Freiburg-Bad Krozingen

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 2%percentile
2.3Author DataRank

Indexed papers

2in 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 2 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.

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab018
Top 13%
1.6DataRank
Top 13%52 citations

Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong +36 more

Papers

Driven by 3 papers — median percentile 79. Top paper: “Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data”.

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab018
Top 13%
1.6DataRank
Top 13%52 citations

Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong +36 more

Validation of a Derived International Patient Severity Algorithm to Support COVID-19 Analytics from Electronic Health Record Data

medRxiv(2020)10.1101/2020.10.13.20201855
Top 30%
0.665DataRank
Top 30%12 citations

Griffin M. Weber, Hossein Estiri, Bertrand Moal, Paul Avillach, Chuan Hong +34 more

International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study

medRxiv(2020)10.1101/2020.12.16.20247684
N/A
0.449DataRank · unranked
19 citations

Chuan Hong, Nathan Palmer, Paul Avillach, Shawn N. Murphy, Alba Gutiérrez‐Sacristán +80 more