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

Distinguishing Multisystem Inflammatory Syndrome in Children From Typhus Using Artificial Intelligence: MIS-C Versus Endemic Typhus (AI-MET)

The Journal of Infectious Diseases(2025)10.1093/infdis/jiaf004Source: DataRank Database

Distinguishing Multisystem Inflammatory Syndrome in Children From Typhus Using Artificial Intelligence: MIS-C Versus Endemic Typhus (AI-MET) is a research paper published in The Journal of Infectious Diseases (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 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 (2 grants)Impact (FWCI 0.00)OA: greenTopics (27)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 (12)

Abraham Bautista-Castillo ORCID,Isabella Osuna ORCID,Kristiana Nasto,Flor M. Muñoz ORCID,Gordon E. Schutze

Live enrichment

PubMed:39761811 PMC:PMC11998560 OpenAlex:https://openalex.org/W4406109155

National Institutes of Health

Grant: R33HD105593

National Council of Science and Technology of Mexico

Grant: 739528

FWCI

0.00

Citation Percentile

0.0%

greenLicense: https://academic.oup.com/pages/standard-publication-reuse-rights

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11998560/pdf/jiaf004.pdf

publisherhttps://academic.oup.com/jid/advance-article-pdf/doi/10.1093/infdis/jiaf004/61357020/jiaf004.pdf

publisherhttps://academic.oup.com/jid/article-pdf/231/4/931/61357020/jiaf004.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11998560/

Fields of Study

Vector-borne infectious diseasesSepsis Diagnosis and TreatmentCOVID-19 diagnosis using AI

MeSH Terms

COVID-19SARS-CoV-2AdolescentArtificial IntelligenceChildChild, PreschoolDiagnosis, DifferentialFemaleHumansInfantMaleScrub TyphusTyphus, Endemic Flea-BorneSystemic Inflammatory Response Syndrome

Keywords

TyphusMedicineVirologyScrub typhusImmunologyArtificial intelligenceMachine LearningMurine TyphusEndemic TyphusMultisystem Inflammatory Syndrome In Children (Mis-c)

Sustainable Development Goals

SDG 0: Good health and well-being