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

Roumen Milev

Queen's University

ORCID: 0000-0001-6884-171X

Also affiliated with Kingston General Hospital

MedicineNeurosciencePsychology

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
0.920Author 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.

Prediction of depression treatment outcome from multimodal data: a CAN-BIND-1 report

Psychological Medicine(2022)10.1017/s0033291722002124
Top 22%
0.920DataRank
Top 22%32 citations

Rudolf Uher, Keith Ho, Stefanie Hassel, Roumen Milev, Benício N. Frey +13 more

Papers

Driven by 7 papers — median percentile 78. Top paper: “Prediction of depression treatment outcome from multimodal data: a CAN-BIND-1 report”.

Prediction of depression treatment outcome from multimodal data: a CAN-BIND-1 report

Psychological Medicine(2022)10.1017/s0033291722002124
Top 22%
0.920DataRank
Top 22%32 citations

Rudolf Uher, Keith Ho, Stefanie Hassel, Roumen Milev, Benício N. Frey +13 more

An investigation of cortical thickness and antidepressant response in major depressive disorder: A CAN-BIND study report

NeuroImage Clinical(2020)10.1016/j.nicl.2020.102178
N/A
0.449DataRank · unranked
19 citations

Luciano Minuzzi, Pradeep Reddy Raamana, Andrew D. Davis, Geoffrey B. Hall, Jacqueline K. Harris +12 more

Visual QC Protocol for FreeSurfer Cortical Parcellations from Anatomical MRI

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.07.286807
N/A
0.425DataRank · unranked
16 citations

Athena Theyers, Tharushan Selliah, Piali Bhati, Stephen R. Arnott, Stefanie Hassel +20 more

Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder

Biological Psychiatry Cognitive Neuroscience and Neuroimaging(2024)10.1016/j.bpsc.2024.04.008
N/A
0.269DataRank · unranked
5 citations

Richard A. I. Bethlehem, Jakob Seidlitz, Nikita Nogovitsyn, Paul D. Metzak, Pedro L. Ballester +94 more

Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1

PLoS ONE(2021)10.1371/journal.pone.0253023
N/A
0DataRank · unranked
24 citations

Teyden T. Nguyen, Yihan Zhou, Bo Cao, Raymond T. Ng, Jun Chen +9 more

Gray matter volume drives the brain age gap in schizophrenia: a SHAP study

Schizophrenia(2023)10.1038/s41537-022-00330-z
N/A
0DataRank · unranked
46 citations

Jee Su Suh, Natalie C. W. Ho, Liangbing Liang, Stefanie Hassel, Stephen C. Strother +13 more

Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes

The Canadian Journal of Psychiatry(2024)10.1177/07067437241245384
N/A
0DataRank · unranked
315 citations

Sidney H. Kennedy, G. Camelia Adams, Anees Bahji, Serge Beaulieu, Venkat Bhat +39 more