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

Liane Comeau

International Union for Health Promotion and Health Education, École de santé publique de l’Université de Montréal, Montréal, Québec, Canada

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 7 papers. Top paper: “Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta‐analysis”.

Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta‐analysis

International Journal of Methods in Psychiatric Research(2020)10.1002/mpr.1860

N/A

2.4DataRank · unranked

60 citations

Tiffany Dal Santo, Brooke Levis, Yin Wu, Ying Sun, Chen He +75 more

Diagnostic accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for detecting major depression in pregnant and postnatal women: protocol for a systematic review and individual patient data meta-analyses

BMJ Open(2015)10.1136/bmjopen-2015-009742

N/A

2.3DataRank · unranked

57 citations

Andrea Benedetti, Lorie A. Kloda, Brooke Levis, Kira E. Riehm, Marleine Azar +15 more

Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta‐analysis

International Journal of Methods in Psychiatric Research(2019)10.1002/mpr.1803

N/A

1.3DataRank · unranked

49 citations

Dean McMillan, Ying Sun, Chen He, Danielle B. Rice, Ankur Krishnan +93 more

Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data

Journal of Clinical Epidemiology(2021)10.1016/j.jclinepi.2021.03.031

N/A

0.889DataRank · unranked

20 citations

Brooke Levis, Tiffany Dal Santo, Scott B. Patten, Ian Shrier, Brett D. Thombs +101 more

Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis

The Canadian Journal of Psychiatry(2020)10.1177/0706743720934959

N/A

0.396DataRank · unranked

13 citations

Brooke Levis, Anita Lyubenova, Tiffany Dal Santo, Zelalem Negeri, Yin Wu +50 more

An empirical comparison of statistical methods for multiple cut-off diagnostic test accuracy meta-analysis of the Edinburgh postnatal depression scale (EPDS) depression screening tool using published results vs individual participant data

BMC Medical Research Methodology(2024)10.1186/s12874-023-02134-w

N/A

0.208DataRank · unranked

3 citations

Brooke Levis, John P. A. Ioannidis, Brett D. Thombs, Andrea Benedetti, Ying Sun +54 more

Author response for "Shortening the Edinburgh Postnatal Depression Scale using Optimal Test Assembly Methods: Development of the EPDS‐Dep‐5"

(2020)10.1111/acps.13272/v2/response1

N/A

0DataRank · unranked

0 citations

Brooke Levis, Miyabi Ishihara, Alexander W. Levis, Simone N. Vigod, Louise M. Howard +60 more