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

Emily Getzen

California University of Pennsylvania

ORCID: 0000-0001-7283-1653

Also affiliated with University of Pennsylvania

Computer ScienceMedicineBiochemistry, 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
2.2Author 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.

Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions

Journal of Clinical and Translational Science(2024)10.1017/cts.2024.571
Top 18%
1.2DataRank
Top 18%36 citations

Danielle L. Mowery, Xiaomeng Ma, Rui Yang, Uğurcan Vurgun, Sy Hwang +11 more

Papers

Driven by 15 papers — median percentile 73. Top paper: “Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions”.

Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions

Journal of Clinical and Translational Science(2024)10.1017/cts.2024.571
Top 18%
1.2DataRank
Top 18%36 citations

Danielle L. Mowery, Xiaomeng Ma, Rui Yang, Uğurcan Vurgun, Sy Hwang +11 more

Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

EClinicalMedicine(2023)10.1016/j.eclinm.2023.102210
Top 27%
0.745DataRank
Top 27%24 citations

Zachary H. Strasser, Zahra Shakeri Hossein Abad, Jeffrey G. Klann, Kavishwar B. Wagholikar, Rebecca Mesa +93 more

Mining for Equitable Health: Assessing the Impact of Missing Data in Electronic Health Records

medRxiv(2022)10.1101/2022.05.09.22274680
N/A
0.330DataRank · unranked
8 citations

Lyle Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long, Emily Getzen

Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions

medRxiv(2024)10.1101/2024.02.04.24302242
Top 59%
0.266DataRank
Top 59%4 citations

Danielle L. Mowery, Xiaomeng Ma, Rui Yang, Uğurcan Vurgun, Sy Hwang +10 more

Validation of Biomechanical Computed Tomography for Fracture Risk Classification in Metastatic Hormone-sensitive Prostate Cancer

European Urology Oncology(2023)10.1016/j.euo.2023.10.016
N/A
0DataRank · unranked
12 citations

Caleb Hearn, Emily Getzen, Qi Long, David C. Lee, Tony M. Keaveny +14 more

Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic

medRxiv(2023)10.1101/2023.12.18.23300181
N/A
0DataRank · unranked
3 citations

Amelia L.M. Tan, Gabriel A. Brat, Gilbert S. Omenn, Zachary H. Strasser, Qi Long +3 more

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

EBioMedicine(2024)10.1016/j.ebiom.2024.105333
N/A
0DataRank · unranked
4 citations

Johanna J. Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu +90 more

Filling the gaps: leveraging large language models for temporal harmonization of clinical text across multiple medical visits for clinical prediction

medRxiv(2024)10.1101/2024.05.06.24306959
N/A
0DataRank · unranked
4 citations

Qi Long, Emily Getzen, Inyoung Choi

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization

arXiv (Cornell University)(2024)10.48550/arxiv.2405.16455
N/A
0DataRank · unranked
4 citations

Ziniu Li, Xingyu Xie, Emily Getzen, Cong Fang, Long Qi +2 more

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation

PubMed(2024)10.48550/arxiv.2406.00611
N/A
0DataRank · unranked
0 citations

Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily Getzen +5 more

Mental health among head and neck surgeons in Brazil during the COVID-19 pandemic: A national study

American Journal of Otolaryngology(2020)10.1016/j.amjoto.2020.102694
N/A
0DataRank · unranked
83 citations

Antônio Augusto Tupinambá Bertelli, Antônio José Gonçalves, Emily Getzen, Changgee Chang, Qi Long +2 more

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

UNC Libraries(2024)10.17615/xhdk-h129
N/A
0DataRank · unranked
0 citations

Zhijun Dai, Neelay Velingker, Emily Pfaff, Gong Chen, Bhaskar Bhattacharya +37 more

Mining for Health: A Comparison of Word Embedding Methods for Analysis of EHRs Data

medRxiv(2022)10.1101/2022.03.05.22271961
N/A
0DataRank · unranked
9 citations

Yucheng Ruan, Lyle Ungar, Qi Long, Emily Getzen

Mining for equitable health: Assessing the impact of missing data in electronic health records

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2022.104269
N/A
0DataRank · unranked
120 citations

Lyle Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long, Emily Getzen

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104306
N/A
0DataRank · unranked
29 citations

Emily Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez‐Sacristán, Trang T. Le +34 more