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

Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets

PubMed(2024)10.48550/arxiv.2408.01375Source: DataRank Database

Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 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 (8 grants)Impact (FWCI 3.22)OA: greenTopics (39)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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 (7)

Andrew Estornell ORCID,Ellen Wright Clayton ORCID,Chien-Ju Ho ORCID,Russell L. Rothman ORCID,Yevgeniy Vorobeychik ORCID

Live enrichment

PubMed:40417546 PMC:PMC12099364 OpenAlex:https://openalex.org/W4406302084

NHLBI NIH HHS

Grant: F30 HL168976

NIGMS NIH HHS

Grant: T32 GM007347

NIGMS NIH HHS

Grant: T32 GM152284

NHGRI NIH HHS

Grant: U54 HG012510

NCATS NIH HHS

Grant: UL1 TR002243

National Institutes of Health

Grant: 1F30HL168976-01

Fair risk profiles and predictive models for outcomes of obstructive sleep apnea through electronic medical record data

National Institutes of Health

Grant: 5UL1TR002243-05

Vanderbilt Institute for Clinical and Translational Research (VICTR)

National Institutes of Health

Grant: 1U54HG012510-01

A FAIR Bridge2AI Center (FABRIC)

FWCI

3.22

Citation Percentile

0.9%

Citation Trend

2025

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/2408.01375

repositoryhttp://arxiv.org/abs/2408.01375

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40417546

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12099364

repositoryhttps://doi.org/10.48550/arxiv.2408.01375

Fields of Study

Health, Environment, Cognitive AgingMachine Learning in HealthcareArtificial Intelligence in HealthcareMachine Learning (cs.LG)Computers and Society (cs.CY)FOS: Computer and information sciences

MeSH Terms

Computer SimulationHumansUnited StatesCohort StudiesPatient SelectionBiomedical ResearchResource AllocationDatasets as Topic

Keywords

Representativeness heuristicCitizen journalismResource allocationCohortResource (disambiguation)Computer scienceData scienceGeographyMedicineStatisticsWorld Wide WebMathematicsPathologyFOS: Computer and information sciencesComputer Science - Machine LearningBiomedical ResearchPatient SelectionDatasets as TopicUnited StatesMachine Learning (cs.LG)Cohort StudiesComputer Science - Computers and SocietyComputers and Society (cs.CY)HumansComputer Simulation

Sustainable Development Goals

SDG 10: 10. No inequality