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

Michelle M. Martel

University of Kentucky

ORCID: 0000-0003-0562-8115
MedicinePsychologyNeuroscience

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 3%percentile
1.4Author 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.

Longitudinal attention-deficit/hyperactivity disorder symptom networks in childhood and adolescence: Key symptoms, stability, and predictive validity.

Journal of Abnormal Psychology(2021)10.1037/abn0000661
Top 27%
0.733DataRank
Top 27%19 citations

Patrick K. Goh, Christine A. Lee, Sarah L. Karalunas, Joel T. Nigg, Michelle M. Martel

Papers

Driven by 9 papers — median percentile 72. Top paper: “Longitudinal attention-deficit/hyperactivity disorder symptom networks in childhood and adolescence: Key symptoms, stability, and predictive validity.”.

Longitudinal attention-deficit/hyperactivity disorder symptom networks in childhood and adolescence: Key symptoms, stability, and predictive validity.

Journal of Abnormal Psychology(2021)10.1037/abn0000661
Top 27%
0.733DataRank
Top 27%19 citations

Patrick K. Goh, Christine A. Lee, Sarah L. Karalunas, Joel T. Nigg, Michelle M. Martel

The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis

Developmental Cognitive Neuroscience(2023)10.1016/j.dcn.2023.101222
Top 29%
0.692DataRank
Top 29%23 citations

Sarah L. Karalunas, Michael A. Mooney, Beth Wilmot, Molly A. Nikolas, Michelle M. Martel +8 more

Subgroups of Childhood ADHD Based on Temperament Traits and Cognition: Concurrent and Predictive Validity

Journal of Abnormal Child Psychology(2020)10.1007/s10802-020-00668-x
N/A
0.483DataRank · unranked
24 citations

Christine A. Lee, Michelle M. Martel, Sarah L. Karalunas, Joel T. Nigg, Patrick K. Goh

Heightened sensitivity to the disinhibiting effect of alcohol in women during the late follicular phase of the menstrual cycle.

Experimental and Clinical Psychopharmacology(2022)10.1037/pha0000611
N/A
0.387DataRank · unranked
8 citations

Michelle M. Martel, Tory A. Eisenlohr‐Moul, Mark T. Fillmore, Annie K Griffith

Interactive Effects of Ovarian Steroid Hormones on Alcohol Use and Binge Drinking Across the Menstrual Cycle

UNC Libraries(2024)10.17615/r88z-se50
N/A
0DataRank · unranked
0 citations

Tory A. Eisenlohr‐Moul, Michelle M. Martel, Bethan Roberts

Reproductive steroids and ADHD symptoms across the menstrual cycle

UNC Libraries(2024)10.17615/axxy-pr75
N/A
0DataRank · unranked
0 citations

Tory A. Eisenlohr‐Moul, Bethan Roberts, Michelle M. Martel

Etiological Networks of Attention-Deficit/Hyperactivity Disorder during Childhood and Adolescence

Journal of Clinical Child & Adolescent Psychology(2021)10.1080/15374416.2021.1946820
N/A
0DataRank · unranked
10 citations

Tess E. Smith, Christine A. Lee, Pevitr S. Bansal, Ashley G. Eng, Michelle M. Martel +1 more

Attention-deficit/hyperactivity disorder and the menstrual cycle: Theory and evidence

Hormones and Behavior(2023)10.1016/j.yhbeh.2023.105466
N/A
0DataRank · unranked
41 citations

Urveesha Nirjar, Anjeli R. Elkins, Yancey J. Sizemore, Krystina N. Monticello, Madeline K. Petersen +5 more

Data-Driven Methods for Predicting ADHD Diagnosis and Related Impairment: The Potential of a Machine Learning Approach

Research on Child and Adolescent Psychopathology(2023)10.1007/s10802-023-01022-7
N/A
0DataRank · unranked
14 citations

Anjeli R. Elkins, Pevitr S. Bansal, Ashley G. Eng, Michelle M. Martel, Patrick K. Goh