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

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

Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in Lima, Peru

medRxiv(2023)10.1101/2023.05.17.23290110Source: DataRank Database

Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in Lima, Peru is a research paper published in medRxiv (2023). 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

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 (2 grants)OA: greenTopics (12)IDs (PubMed, 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 (11)

Christine Tzelios ORCID,Karen Tintaya,B. Roman ORCID,Shelley Hurwitz,Courtney M. Yuen ORCID

Live enrichment

PubMed:37292955 OpenAlex:https://openalex.org/W4377967432

NIAID NIH HHS

Grant: K23 AI132648

NIAID NIH HHS

Grant: R01 AI112748

greenLicense: cc-by

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/12/07/2023.05.17.23290110.full.pdf

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/12/07/2023.05.17.23290110.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.17.23290110

repositoryhttp://dx.doi.org/10.1101/2023.05.17.23290110

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37292955

Fields of Study

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Keywords

TriageTuberculosisMedicineSoftwareMedical emergencyMedical physicsComputer sciencePathologyOperating system

Sustainable Development Goals

SDG 0: Good health and well-being