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

Brad E. Dicianno

University of Pittsburgh

ORCID: 0000-0003-0738-0192

Also affiliated with VA Pittsburgh Healthcare System

MedicineHealth 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 4%percentile
0.612Author 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.

Toward the Identification of Distinct Phenotypes: Research Protocol for the Low Back Pain Biological, Biomechanical, and Behavioral (LB3P) Cohort Study and the BACPAC Mechanistic Research Center at the University of Pittsburgh

Pain Medicine(2023)10.1093/pm/pnad009
Top 32%
0.612DataRank
Top 32%25 citations

Sara R. Piva, Charity G. Patterson, Gina McKernan, Leming Zhou, Kevin M. Bell +8 more

Papers

Driven by 5 papers — median percentile 68. Top paper: “Toward the Identification of Distinct Phenotypes: Research Protocol for the Low Back Pain Biological, Biomechanical, and Behavioral (LB3P) Cohort Study and the BACPAC Mechanistic Research Center at the University of Pittsburgh”.

Toward the Identification of Distinct Phenotypes: Research Protocol for the Low Back Pain Biological, Biomechanical, and Behavioral (LB3P) Cohort Study and the BACPAC Mechanistic Research Center at the University of Pittsburgh

Pain Medicine(2023)10.1093/pm/pnad009
Top 32%
0.612DataRank
Top 32%25 citations

Sara R. Piva, Charity G. Patterson, Gina McKernan, Leming Zhou, Kevin M. Bell +8 more

A roadmap to reduce information inequities in disability with digital health and natural language processing

PLOS Digital Health(2022)10.1371/journal.pdig.0000135
N/A
0DataRank · unranked
6 citations

Max Hurwitz, Gina McKernan, Amy J. Houtrow, Brad E. Dicianno, Denis Newman-Griffis

Limb accelerations during sleep are related to measures of strength, sensation, and spasticity among individuals with spinal cord injury

Journal of NeuroEngineering and Rehabilitation(2022)10.1186/s12984-022-01090-8
N/A
0DataRank · unranked
2 citations

Michael L. Boninger, Dan Ding, Jennifer L. Collinger, Brad E. Dicianno, Lynn A. Worobey +1 more

A roadmap to reduce information inequities in disability with digital health and natural language processing

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)(2022)10.31219/osf.io/zrs64
N/A
0DataRank · unranked
1 citations

Max Hurwitz, Gina McKernan, Amy J. Houtrow, Brad E. Dicianno, Denis Newman-Griffis

Mobile Health ( mHealth ) for Chronic Low Back Pain Assessment: Design, Development, and Usability Evaluation

JOR Spine(2025)10.1002/jsp2.70118
N/A
0DataRank · unranked
0 citations

Marit E. Johnson, Brad E. Dicianno, Carol M. Greco, Bambang Parmanto, Sara R. Piva +6 more