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

Maria A. Gartstein

Baylor University

ORCID: 0000-0002-5866-7751
PsychologySocial SciencesHealth ProfessionsMedicine

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
0.533Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Breastfeeding patterns are associated with human milk microbiome composition: The Mother-Infant Microbiomes, Behavior, and Ecology Study (MIMBES)

PLoS ONE(2023)10.1371/journal.pone.0287839
Top 36%
0.533DataRank
Top 36%13 citations

Janet E. Williams, Ryan M. Pace, Avery Lane, Maria A. Gartstein, Mark A. McGuire +3 more

Papers

Driven by 7 papers — median percentile 64. Top paper: “Breastfeeding patterns are associated with human milk microbiome composition: The Mother-Infant Microbiomes, Behavior, and Ecology Study (MIMBES)”.

Breastfeeding patterns are associated with human milk microbiome composition: The Mother-Infant Microbiomes, Behavior, and Ecology Study (MIMBES)

PLoS ONE(2023)10.1371/journal.pone.0287839
Top 36%
0.533DataRank
Top 36%13 citations

Janet E. Williams, Ryan M. Pace, Avery Lane, Maria A. Gartstein, Mark A. McGuire +3 more

Using machine learning to understand age and gender classification based on infant temperament

PLoS ONE(2022)10.1371/journal.pone.0266026
N/A
0DataRank · unranked
8 citations

Erich Seamon, Jennifer A. Mattera, Michelle Bosquet Enlow, Rosalind J. Wright, Koraly Pérez‐Edgar +26 more

Genome-to-phenome research in rats: progress and perspectives

International Journal of Biological Sciences(2020)10.7150/ijbs.51628
N/A
0DataRank · unranked
6 citations

Shane A. Carrion, Jennifer J. Michal, Maria A. Gartstein, Raymond M. Quock, Jon F. Davis +2 more

Leveraging machine learning to study how temperament scores predict pre-term birth status

Global Pediatrics(2024)10.1016/j.gpeds.2024.100220
N/A
0DataRank · unranked
1 citations

Jennifer A. Mattera, Sarah A. Keim, Esther M. Leerkes, Jennifer L. Rennels, Andrea J. Kayl +19 more

Systemic barriers and stigma: Healthcare provider perspectives on perinatal and neonatal care in the fentanyl crisis

Journal of Substance Use and Addiction Treatment(2025)10.1016/j.josat.2025.209644
N/A
0DataRank · unranked
0 citations

Tullamora Landis, Christina Brumley, Leslie Kenefick, Kaylee Paulsgrove, Hendrée E. Jones +5 more

Fetal attachment and infant temperament: The mediating role of perinatal mental health

Journal of Affective Disorders(2025)10.1016/j.jad.2025.120927
N/A
0DataRank · unranked
0 citations

Magen E. Lowe, Erich Seamon, Maria A. Gartstein, Victoria Jones

Associations between mothers' and fathers' depression and anxiety prior to birth and infant temperament trajectories over the first year of life: Evidence from diagnoses and symptom severity

Journal of Affective Disorders(2023)10.1016/j.jad.2023.09.023
N/A
0DataRank · unranked
4 citations

Allegra X. Campagna, Sherryl H. Goodman, Maria A. Gartstein, Gregory R. Hancock, Zachary N. Stowe +3 more