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OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology Research

Frontiers in Physiology(2021)10.3389/fphys.2021.646023Source: DataRank Database

OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology Research is a research paper published in Frontiers in Physiology (2021). On theSindex it has a DataRank of 0. It has been cited 34 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access34 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (25 grants)Impact (FWCI 3.36)OA: goldTopics (20)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (14)

Caroline H. Roney ORCID,Adam Connolly ORCID,Iain Sim ORCID,John Whitaker ORCID,Daniel O’Hare ORCID

Live enrichment

PubMed:33716795 PMC:PMC7952326 OpenAlex:https://openalex.org/W3131371784

National Institute for Health Research (NIHR)

Grant: ACF-2009-17-005

Medical Research Council

Grant: MR/S015086/1

Predicting Atrial Fibrillation Mechanisms Through Deep Learning

European Research Council

Grant: 864055

Predicting Outcome of Rate or Rhythm Control in Patients with Atrial Fibrillation and Heart Failure

National Institute for Health Research (NIHR)

Grant: CL-2015-17-502

British Heart Foundation

Grant: PG/19/44/34368

National Institutes of Health

Grant: R01-HL152256

British Heart Foundation

Grant: RG/20/4/34803

NHLBI NIH HHS

Grant: R01 HL152256

British Heart Foundation

Grant: PG/13/37/30280

British Heart Foundation

Grant: PG/15/91/31812

European Research Council

Grant: PREDICT-HF 864055

British Heart Foundation

Grant: FS/15/25/31423

British Heart Foundation

Grant: FS/20/26/34952

Medical Research Council

Grant: MC_PC_19041

Wellcome Trust

Grant: 213342/Z/18/Z

British Heart Foundation

Grant: PG/18/74/34077

Engineering and Physical Sciences Research Council

Grant: EP/P01268X/1

Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models

British Heart Foundation

Grant: FS/CRTF/21/24166

Wellcome Trust

Grant: WT203148/Z/16/Z

UK Research and Innovation

Grant: EP/M012492/1

Personalised Model Based Optimal Lead Guidance in Cardiac Resynchronisation Therapy

National Institutes of Health

Grant: 5R01HL152256-03

Using Atrial Mechanics To Identify Fibrosis In Patients with Atrial Fibrillation

Wellcome Trust

Grant: 203148

King's College London Medical Engineering Centre of Research Excellence

UK Research and Innovation

Grant: NS/A000049/1

Wellcome EPSRC Centre for Medical Engineering

Wellcome Trust

FWCI

3.36

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.3389/fphys.2021.646023

publisherhttps://doi.org/10.3389/fphys.2021.646023

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33716795

repositoryhttps://kclpure.kcl.ac.uk/portal/en/publications/7974b09f-12d9-4c5a-8b44-ab5fa3c5bb72

repositoryhttps://doaj.org/article/cede77a6b157482bb4a0a6dfd77672d7

Fields of Study

Cardiac electrophysiology and arrhythmiasCardiac Arrhythmias and TreatmentsNeurological disorders and treatments03 medical and health sciences0302 clinical medicine

Keywords

ElectrophysiologyMedicineComputer scienceInternal medicineAtrial fibrillationConduction velocityData Storage And RetrievalElectroanatomic MappingContact ForceAblation ElectrophysiologyElectrophysiology – Arrhythmia Mapping And AblationPhysiology610electroanatomic mapping, atrial fibrillation, data storage and retrieval, conduction velocity, ablation electrophysiology, contact force, electrophysiology – arrhythmia mapping and ablationQP1-981

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 0: Industry, innovation and infrastructure