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

xR-enabled Digital Twins Applications in Longitudinal Trials

(2025)10.1145/3721201.3725510Source: DataRank Database

xR-enabled Digital Twins Applications in Longitudinal Trials is a research paper (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 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)Impact (FWCI 0.00)OA: goldTopics (10)IDs (PubMed, OpenAlex)

Context only (not used in score)

Findable (1/2)

Accessible (1/2)

Interoperable (0/2)

Reusable (0/3)

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

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

Live enrichment

NIH (National Institutes of Health)

Grant: R01DK129432

NSF (National Science Foundation)

Grant: IIS 2140729

FWCI

0.00

Citation Percentile

0.5%

goldLicense: http://www.acm.org/publications/policies/copyright_policy#Background

Fields of Study

Digital Transformation in IndustryArtificial Intelligence in Healthcare and EducationAdvanced Technologies in Various Fields

Keywords

Virtual realityLimitingVisualizationDigital healthLongitudinal dataData visualizationLongitudinal study