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

Alex Treacher

Parkland Center For Clinical Innovation

ORCID: 0000-0003-1314-7629
NeuroscienceMedicine

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
0.668Author 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.

Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

Clinical ophthalmology(2022)10.2147/opth.s367722
Top 30%
0.668DataRank
Top 30%13 citations

Ashika Angirekula, Alex Treacher, Ghadeer Al-Humimat, Mohamed F. Marzban, Alyssa Chen +7 more

Papers

Driven by 7 papers — median percentile 70. Top paper: “Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models”.

Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

Clinical ophthalmology(2022)10.2147/opth.s367722
Top 30%
0.668DataRank
Top 30%13 citations

Ashika Angirekula, Alex Treacher, Ghadeer Al-Humimat, Mohamed F. Marzban, Alyssa Chen +7 more

Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial

Biological Psychiatry(2021)10.1016/j.biopsych.2021.09.011
N/A
0DataRank · unranked
26 citations

Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Crystal Cooper, Manish K. Jha +8 more

Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning

Scientific Reports(2022)10.1038/s41598-022-06459-2
N/A
0DataRank · unranked
56 citations

Kevin P. Nguyen, Alex Treacher, Albert Montillo, Cooper Mellema

Predictive Patterns of Antidepressant Response from Pre-Treatment Reward Processing using Functional MRI and Deep Learning: Key Results from the EMBARC Randomized Clinical Trial

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.28.923821
N/A
0DataRank · unranked
1 citations

Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Crystal Cooper, Manish K. Jha +8 more

Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data

IEEE Transactions on Pattern Analysis and Machine Intelligence(2023)10.1109/tpami.2023.3234291
N/A
0DataRank · unranked
8 citations

Alex Treacher, Albert Montillo, Kevin P. Nguyen

Longitudinal prognosis of Parkinson’s outcomes using causal connectivity

NeuroImage Clinical(2024)10.1016/j.nicl.2024.103571
N/A
0DataRank · unranked
3 citations

Kevin P. Nguyen, Alex Treacher, Aixa X. Andrade, Nader Pouratian, Vibhash D. Sharma +3 more

Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder

Nature Communications(2022)10.1038/s41467-022-31053-5
N/A
0DataRank · unranked
46 citations

Alex Treacher, Emre Caglayan, Danni Luo, Jillian R. Haney, Michael J. Gandal +4 more