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

Scott MacKay

University of Alberta

ORCID: 0009-0003-9429-6518
EngineeringBiochemistry, Genetics and Molecular Biology

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
0.208Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Top 65%3 citations

Eponine Oler, Sukanta Saha, Jenna Poelzer, Scott Han, Mark Peter Punsalan +19 more

Papers

Driven by 4 papers — median percentile 35. Top paper: BASys2: a next-generation bacterial genome annotation system.

N/A
0.269DataRank · unranked
5 citations

Scott Han, Sukanta Saha, Eponine Oler, Ray Kruger, Mark Berjanskii +3 more

Top 65%3 citations

Eponine Oler, Sukanta Saha, Jenna Poelzer, Scott Han, Mark Peter Punsalan +19 more

8 citations

Jiamin Zheng, Kathleen P. Ismond, Scott MacKay, Marcia LeVatte, Jeremy Constable +4 more

21 citations

Pablo Gonzalez-Vasquez, Claudia Torres-Calzada, Scott MacKay, James Cook, Yeganeh Khaniani +6 more