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

Alan Le Goallec

Harvard University

ORCID: 0000-0002-4257-1851
MedicineBiochemistry, 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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type”.

A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007895
N/A
0DataRank · unranked
33 citations

Braden Tierney, Jacob M. Luber, Evan M. Cofer, Aleksandar D. Kostic, Chirag J. Patel +1 more

Characterising the relationships between physiological indicators and all-cause mortality (NHANES): a population-based cohort study

The Lancet Healthy Longevity(2021)10.1016/s2666-7568(21)00212-9
N/A
0DataRank · unranked
20 citations

Justin A. Colacino, Ming Kei Chung, Alan Le Goallec, Olivier Jolliet, Chirag J. Patel +1 more

Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale

PLOS Digital Health(2023)10.1371/journal.pdig.0000176
N/A
0DataRank · unranked
13 citations

Sasha Collin, M’Hamed Jabri, Samuel Diai, Théo Vincent, Chirag J. Patel +1 more