Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Study design and the sampling of deleterious rare variants in biobank-scale datasets

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2425196122Source: DataRank Database

Study design and the sampling of deleterious rare variants in biobank-scale datasets is a research paper published in Proceedings of the National Academy of Sciences (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 1.88)OA: hybridTopics (38)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (6)

Daniel P. Rice ORCID,Arjun Biddanda ORCID,Mariadaria K. Ianni-Ravn ORCID,Christian Porras ORCID,John Novembre ORCID

Live enrichment

PubMed:40460117 PMC:PMC12167998 OpenAlex:https://openalex.org/W4410988164

National Science Foundation

Grant: DGE1746045

HHS | NIH | National Institute of General Medical Sciences

Grant: R01 GM132383

HHS | NIH | National Institute of General Medical Sciences

Grant: R35 GM149521

NHGRI NIH HHS

Grant: R01 HG010773

National Institutes of Health

Grant: 1R01GM132383-01

Extending Tools for Visualization of Geographic Structure in Population Genomic Data

National Institutes of Health

Grant: 5R35GM149521-03

Theory, Methods, and Resources for Understanding and Leveraging Spatial Variation in Population Genetic Data

National Science Foundation

Grant: 1746045

Graduate Research Fellowship Program (GRFP)

FWCI

1.88

Citation Percentile

0.9%

Citation Trend

2026

hybridLicense: cc-by

journalhttps://www.pnas.org/doi/pdf/10.1073/pnas.2425196122

publisherhttps://www.pnas.org/doi/pdf/10.1073/pnas.2425196122

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2425196122

journalhttps://doi.org/10.1073/pnas.2425196122

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40460117

Fields of Study

Genetic Associations and EpidemiologyGenomics and Rare DiseasesCancer Genomics and Diagnostics0301 basic medicine03 medical and health sciences

MeSH Terms

Genetics, PopulationUnited KingdomHumansModels, GeneticResearch DesignSelection, GeneticGenetic VariationBiological Specimen BanksGenetic Drift

Keywords

BiobankScale (ratio)Sampling (signal processing)Computational biologyComputer scienceData scienceBiologyGeneticsGeographyCartographyPopulation geneticsNegative SelectionRare VariantsModels, GeneticGenetic DriftGenetic VariationBiological SciencesArticleUnited KingdomGenetics, PopulationResearch DesignHumansSelection, GeneticBiological Specimen Banks