Personalized computational heart models with T1-mapped fibrotic remodeling predict sudden death risk in patients with hypertrophic cardiomyopathy is a research paper published in eLife (2022). On theSindex it has a DataRank of 1.7. It has been cited 42 times, with 42 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.564
From this paper's citation signal
Citation Network Contribution
1.2
From 40 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 42 citers.
National Institutes of Health
Grant: R01HL142496
National Institutes of Health
Grant: R01HL126802
National Institutes of Health
Grant: HL125239
National Science Foundation
Grant: DGE-1746891
National Institutes of Health
Grant: 5R01HL126802-03
Exploration of Arrhythmogenic Triggers and Substrates in Heart Failure
National Institutes of Health
Grant: 5R01HL142496-04
Infarct-related Ventricular Tachycardia Mechanisms: From Micro to Clinical
National Institutes of Health
Grant: 5T32HL125239-02
Training for Clinician Scientists in Pediatric Critical Cardiopulmonary Disease
National Science Foundation
Grant: 1746891
Graduate Research Fellowship Program (GRFP)
Fields of Study
Keywords
Sustainable Development Goals