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

Adam G. Dunn

The University of Sydney

ORCID: 0000-0002-1720-8209
Decision SciencesSocial SciencesHealth ProfessionsComputer Science

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 6%percentile
0.327Author 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.

The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations

BMC Medical Research Methodology(2021)10.1186/s12874-021-01485-6
Top 52%
0.327DataRank
Top 52%5 citations

Florence T. Bourgeois, Adam G. Dunn, Didi Surian

Papers

Driven by 6 papers — median percentile 48. Top paper: “ROB-ME: a tool for assessing risk of bias due to missing evidence in systematic reviews with meta-analysis”.

ROB-ME: a tool for assessing risk of bias due to missing evidence in systematic reviews with meta-analysis

BMJ(2023)10.1136/bmj-2023-076754
N/A
2.5DataRank · unranked
108 citations

Jonathan A. C. Sterne, Isabelle Boutron, Asbjørn Hróbjartsson, Jamie J Kirkham, Tianjing Li +14 more

The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations

BMC Medical Research Methodology(2021)10.1186/s12874-021-01485-6
Top 52%
0.327DataRank
Top 52%5 citations

Florence T. Bourgeois, Adam G. Dunn, Didi Surian

A comparison of machine learning methods to find clinical trials for inclusion in new systematic reviews from their PROSPERO registrations prior to searching and screening

Research Synthesis Methods(2023)10.1002/jrsm.1672
N/A
0.241DataRank · unranked
4 citations

Florence T. Bourgeois, Claire Narang, Adam G. Dunn, Shifeng Liu

Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations

Rare & Special e-Zone (The Hong Kong University of Science and Technology)(2021)10.18653/v1/2021.findings-emnlp.147
N/A
0DataRank · unranked
11 citations

Yifang Sun, Bing Li, Wei Wang, Florence T. Bourgeois, Adam G. Dunn +1 more

Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter

Journal of Medical Internet Research(2023)10.2196/40706
N/A
0DataRank · unranked
10 citations

Catherine C. Pollack, Marie‐Laure Charpignon, Shagun Gupta, Jessica Malaty Rivera, Ghinwa Y. El Hayek +4 more

Strategies for Efficient Retrieval-augmented Generation in Clinical Domains with RAPTOR: A Benchmarking Study

International conference Recent advances in natural language processing(2025)10.26615/978-954-452-098-4-164
N/A
0DataRank · unranked
0 citations

Qixuan Hu, Jinman Kim, Adam G. Dunn, Xumou Zhang