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

Atlas-based methods for efficient characterization of patient-specific ventricular activation patterns

EP Europace(2020)10.1093/europace/euaa397Source: DataRank Database

Atlas-based methods for efficient characterization of patient-specific ventricular activation patterns is a research paper published in EP Europace (2020). On theSindex it has a DataRank of 0. It has been cited 6 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access6 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 (9 grants)Impact (FWCI 0.69)OA: bronzeTopics (55)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)

Nickolas Forsch ORCID,Sachin Govil,Jake M Joblon ORCID,Jeffrey H. Omens ORCID,James C. Perry ORCID

Live enrichment

PubMed:33751079 PMC:PMC7943357 OpenAlex:https://openalex.org/W3134319433

National Institutes of Health

Grant: 1R01 HL121754

National Institutes of Health

Grant: T32 HL007444

National Institutes of Health

Grant: TL1 TR001443

American Heart Association

Grant: 19AIML35120034

NHLBI NIH HHS

Grant: R01 HL121754

National Institutes of Health

Grant: 5T32HL007444-39

Training in Cardiovascular Physiology and Pharmacology

National Institutes of Health

Grant: 2R01HL121754-05

The Cardiac Atlas Project

National Institutes of Health

Grant: 5TL1TR001443-02

UC San Diego Clinical and Translational Research Institute

Theo-Rossi di Montelera (TRM) foundation

FWCI

0.69

Citation Percentile

0.7%

Citation Trend

2022

2023

2024

bronzeLicense: OUP Standard Publication Reuse

journalhttps://academic.oup.com/europace/article-pdf/23/Supplement_1/i88/36455717/euaa397.pdf

publisherhttps://academic.oup.com/europace/article-pdf/23/Supplement_1/i88/36455717/euaa397.pdf

journalhttps://doi.org/10.1093/europace/euaa397

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33751079

repositoryhttps://escholarship.org/uc/item/7th6k6nq

Fields of Study

Cardiac electrophysiology and arrhythmiasECG Monitoring and AnalysisCardiac Arrhythmias and Treatments03 medical and health sciences0302 clinical medicineArrhythmias, CardiacHeartHeart VentriclesHumansMagnetic Resonance Imaging

MeSH Terms

Arrhythmias, CardiacHeartHeart VentriclesHumansMagnetic Resonance Imaging

Keywords

MedicineAtlas (anatomy)Dimensionality reductionVectorcardiographyArtificial intelligencePattern recognition (psychology)Principal component analysisData miningComputer scienceCardiologyElectrocardiographyVectorcardiogramStatistical AtlasUnsupervised Machine LearningActivation MapMagnetic Resonance Imaging (mesh)Heart VentriclesClinical Sciences610BioengineeringArrhythmiasCardiovascular Medicine and HaematologyHeart Ventricles (mesh)1103 Clinical Sciences (for)HumansCardiovascular System & Hematology (science-metrix)32 Biomedical and Clinical Sciences (for-2020)3202 Clinical Sciences (for-2020)Humans (mesh)Biomedical and Clinical SciencesHeart (mesh)Bioengineering (rcdc)5003201 Cardiovascular medicine and haematology (for-2020)Arrhythmias, CardiacHeartCardiac (mesh)Magnetic Resonance ImagingCardiovascular System & HematologyCardiac

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions