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

Mary Regina Boland

Saint Vincent College

ORCID: 0000-0001-8576-6408

Also affiliated with Toronto Metropolitan University

Biochemistry, Genetics and Molecular BiologyComputer ScienceEnvironmental ScienceHealth ProfessionsSocial Sciences

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 7%percentile
0.104Author 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.

Variation in organisational factors across high- and low-performing hospitals with regard to spontaneous vaginal birth for Black women in four states: a cross-sectional descriptive study

BMJ Open(2024)10.1136/bmjopen-2023-082421
Top 78%
0.104DataRank
Top 78%1 citations

Mary Regina Boland, Rebecca R. S. Clark

Papers

Driven by 14 papers — median percentile 22. Top paper: “Why Is the Electronic Health Record So Challenging for Research and Clinical Care?”.

Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

Methods of Information in Medicine(2021)10.1055/s-0041-1731784
N/A
0.717DataRank · unranked
118 citations

James Beinlich, Mary Regina Boland, Kathryn H. Bowles, Yong Chen, Tessa S. Cook +20 more

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa044
N/A
0.652DataRank · unranked
76 citations

Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C Jason Liang, Howard H. Chang +11 more

Postpartum complications increased in women with polycystic ovary syndrome

American Journal of Obstetrics and Gynecology(2020)10.1016/j.ajog.2020.08.048
N/A
0.581DataRank · unranked
47 citations

Mary Regina Boland, Kurt T. Barnhart, Mary D. Sammel, Anuja Dokras, Snigdha Alur-Gupta

Informatics for sex- and gender-related health: understanding the problems, developing new methods, and designing new solutions

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocab287
N/A
0.360DataRank · unranked
10 citations

Noémie Elhadad, Wanda Pratt, Mary Regina Boland

Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome

Fertility and Sterility(2023)10.1016/j.fertnstert.2023.01.025
N/A
0.269DataRank · unranked
5 citations

Mary Regina Boland, Anuja Dokras, Melissa A Haendel, Christopher G. Chute, Anita Walden +67 more

Learning from local to global - an efficient distributed algorithm for modeling time-to-event data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.04.977298
N/A
0.241DataRank · unranked
4 citations

Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, Jason Liang, Howard H. Chang +11 more

PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine

Biocomputing 2019(2018)10.1142/9789813279827_0042
N/A
0.104DataRank · unranked
1 citations

ZHIYONG LU, Robert Leaman, Davy Weissenbacher, Mary Regina Boland, Yong Chen +14 more

Variation in organisational factors across high- and low-performing hospitals with regard to spontaneous vaginal birth for Black women in four states: a cross-sectional descriptive study

BMJ Open(2024)10.1136/bmjopen-2023-082421
Top 78%
0.104DataRank
Top 78%1 citations

Mary Regina Boland, Rebecca R. S. Clark

Comparison of different definitions of traumatic brain injury: implications for cohort characteristics and survival in women, Philadelphia, USA

Injury Prevention(2024)10.1136/ip-2023-045069
N/A
0DataRank · unranked
3 citations

Abigail C. Bretzin, Andrea L.C. Schneider, Rebecca Morse, Silvia P. Canelón, Douglas J. Wiebe +2 more

Uncovering Important Diagnostic Features for Alzheimer’s, Parkinson’s and Other Dementias Using Interpretable Association Mining Methods

PubMed(2024)10.1142/9789819807024_0045
N/A
0DataRank · unranked
3 citations

Mary Regina Boland, Bojian Hou, Victoria Lu, Carol Manning, Li Shen +2 more

Predicting explainable dementia types with LLM-aided feature engineering

Bioinformatics(2025)10.1093/bioinformatics/btaf156
N/A
0DataRank · unranked
9 citations

Delip Rao, Mary Regina Boland, Li Shen, Chris Callison-Burch, Aditya Kashyap

The digital revolution in phenotyping

UNC Libraries(2020)10.17615/x6be-m741
N/A
0DataRank · unranked
0 citations

Nigel Collier, Tudor Groza, Dietrich Rebholz‐Schuhmann, Richard H. Scheuermann, Olivier Bodenreider +14 more

Assessing racial residential segregation as a risk factor for severe maternal morbidity

Annals of Epidemiology(2023)10.1016/j.annepidem.2023.04.018
N/A
0DataRank · unranked
16 citations

Nancy Yang, Mary Regina Boland, Jessica Meeker, Rachel Ledyard, Elizabeth A. Howell +2 more

One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites

Journal of Biomedical Informatics(2024)10.1016/j.jbi.2024.104595
N/A
0DataRank · unranked
6 citations

Jiayi Tong, Ronen Stein, Yiwen Lu, Naimin Jing, Yuchen Yang +7 more