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

Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics

Frontiers in Physiology(2020)10.3389/fphys.2020.585400Source: DataRank Database

Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics is a research paper published in Frontiers in Physiology (2020). On theSindex it has a DataRank of 0. It has been cited 24 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access24 citations

Download PDF

Cite:

Linked data & code

nct doi

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 (5 grants)OA: goldTopics (10)IDs (PubMed, PMC)Annotations (2)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 (6)

Suran K. Galappaththige ORCID,Jonathan M. Cordeiro ORCID,Abouzar Kaboudian ORCID,Flavio H. Fenton ORCID,Richard A. Gray ORCID

Live enrichment

PubMed:33329034 PMC:PMC7711195

National Science Foundation

Grant: NSF1446675.Q1

National Science Foundation

Grant: NIH 1R01HL143450-01

NHLBI NIH HHS

Grant: R01 HL143450

National Science Foundation

Grant: 1446675

CPS: Frontier: Collaborative Research: Compositional, Approximate, and Quantitative Reasoning for Medical Cyber-Physical Systems

National Institutes of Health

Grant: 1R01HL143450-01

Integrative Experimental and Multiscale High Resolution ModeIntegrative Experimental and Multiscale High Resolution Modling of Atrial Arrhythmias to Optimize Low Energy Anti-fibrillation Pacing (LEAP)

goldLicense: cc-by

publisherhttps://doi.org/10.3389/fphys.2020.585400

publisherhttps://www.frontiersin.org/articles/10.3389/fphys.2020.585400/full

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7711195

Europe_PMChttps://europepmc.org/articles/PMC7711195

Europe_PMChttps://europepmc.org/articles/PMC7711195?pdf=render

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

ElectrophysiologyCorrelationVariabilitySensitivity analysisUncertainty QuantificationPhysiologyQP1-981

Sustainable Development Goals

SDG 13: 13. Climate action