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

Andrew J. Admon

University of Michigan

ORCID: 0000-0002-7432-3764

Also affiliated with VA Ann Arbor Healthcare System, Michigan Medicine, VA Center for Clinical Management Research, Ann Arbor Center for Independent Living

Medicine

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 4%percentile
0.701Author 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.

Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm

Journal of Clinical Medicine(2023)10.3390/jcm12237313
Top 50%
0.357DataRank
Top 50%6 citations

Wei Hao, Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Andrew J. Admon +3 more

Papers

Driven by 7 papers — median percentile 50. Top paper: “Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm”.

Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm

Journal of Clinical Medicine(2023)10.3390/jcm12237313
Top 50%
0.357DataRank
Top 50%6 citations

Wei Hao, Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Andrew J. Admon +3 more

Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 infection (PASC) in a Large Academic Medical Center in the US

medRxiv(2022)10.1101/2022.10.21.22281356
Top 51%
0.344DataRank
Top 51%4 citations

Weijia Jin, Andrew J. Admon, Bhramar Mukherjee, Lars G. Fritsche

Actions Taken by US Hospitals to Prepare for Increased Demand for Intensive Care During the First Wave of COVID-19

CHEST Journal(2021)10.1016/j.chest.2021.03.005
N/A
0DataRank · unranked
72 citations

Deena Kelly Costa, Billie S. Davis, Andrew J. Admon, Kelly C. Vranas, Jeremy M. Kahn +1 more

Social Network Diversity and the Daily Burden of Inflammatory Bowel Disease

Clinical and Translational Gastroenterology(2023)10.14309/ctg.0000000000000572
N/A
0DataRank · unranked
13 citations

Ariel Jordan, Jessica L. Sheehan, Jeffrey Berinstein, Andrew J. Admon, Akbar K. Waljee +6 more

Cancellation and Resumption of Elective Surgeries Over Time Across a National Sample of US Hospitals During the COVID-19 Pandemic

CHEST Critical Care(2024)10.1016/j.chstcc.2024.100080
N/A
0DataRank · unranked
1 citations

Deena Kelly Costa, Billie S. Davis, Andrew J. Admon, Bo Zhao, Jeremy M. Kahn +2 more

External Validation and Comparison of a General Ward Deterioration Index Between Diversely Different Health Systems

Critical Care Medicine(2023)10.1097/ccm.0000000000005837
N/A
0DataRank · unranked
17 citations

Joseph M. Blackmer, Jonathan Motyka, Negar Farzaneh, Loc Cao, Erin Bisco +10 more

Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

JMIR Medical Informatics(2021)10.2196/25066
N/A
0DataRank · unranked
36 citations

Sardar Ansari, Jonathan Motyka, Guan Wang, Richard P. Medlin, Steven L. Kronick +12 more