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

Johann M. Vega-Dienstmaier

Texas Medical Center

ORCID: 0000-0002-5686-4014

Also affiliated with Universidad Peruana Cayetano Heredia, Instituto Nacional de Salud, The University of Texas Medical Branch at Galveston

PsychologyHealth Professions

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 8 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

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

Individual participant data meta-analysis to compare EPDS accuracy to detect major depression with and without the self-harm item

Scientific Reports(2023)10.1038/s41598-023-29114-w
N/A
0.425DataRank · unranked
16 citations

Yin Wu, Ying Sun, Brooke Levis, Jizhou Tian, Pim Cuijpers +83 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

Comparison of Patient Health Questionnaire-9, Edinburgh Postnatal Depression Scale and Hospital Anxiety and Depression – Depression subscale scores by administration mode: An individual participant data differential item functioning meta-analysis

Journal of Affective Disorders(2024)10.1016/j.jad.2024.06.033
N/A
0.292DataRank · unranked
6 citations

Yin Wu, Brooke Levis, Suiqiong Fan, Ying Sun, Mingyao Xu +255 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