Blood-based cardiometabolic phenotypes in atrial fibrillation and their associated risk: EAST-AFNET 4 biomolecule study is a research paper published in Cardiovascular Research (2024). On theSindex it has a DataRank of 0.585. It has been cited 21 times, with 10 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.464
From this paper's citation signal
Citation Network Contribution
0.121
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 10 citers.
German Heart Foundation
Grant: EU 633196
British Heart Foundation
Grant: PG/20/22/35093
British Heart Foundation
Grant: AA/18/2/34218
German Ministry of Education and Research
Grant: FKZ 81X2800182
German Ministry of Education and Research
Grant: 81Z0710116
German Ministry of Education and Research
Grant: 81Z0710110
German Research Foundation
Grant: Ki 509167694
CATCH-ME
Grant: EU 965286 (
National Institutes of Health
Grant: RO1HL092577
National Institutes of Health
Grant: RO1HL157635
American Heart Association
Grant: 18SFRN34230127
American Heart Association
Grant: 961045
Dutch Heart Foundation
Grant: CVON2014-09
Dutch Heart Foundation
Grant: 01-002-2022-0118
promotion of women scientists programme
Grant: FKZ 81X3710112
European Union’s Horizon 2020 research and innovation programme
Grant: 648131
Novel multimodal approach to atrial fibrillation risk assessment and identification of targets for prevention by interdisciplinary exploitation of omics, advanced electrocardiography, and imaging
European Union’s Horizon 2020 research and innovation programme
Grant: 847770
DIGITAL, RISK-BASED SCREENING FOR ATRIAL FIBRILLATION IN THE EUROPEAN COMMUNITY
European Union’s Horizon Europe research and innovation programme
Grant: 101095480
Personalised pharmacometabolomic optimisation of treatment for hypertension
German Ministry of Research and Education
Grant: BMBF 01ZX1408A
ERACoSysMed3
Grant: 031L0239
National Institutes of Health
Grant: 5R01HL092577-02
Identification of common genetic variants for atrial fibrillation and PR interval
European Commission
Grant: 633196
Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly
National Institutes of Health
Grant: 1R01HL157635-01A1
Using Electrocardiogram Genetics to Inform Arrhythmia Risk
European Commission
Grant: 965286
Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation
Deutsche Forschungsgemeinschaft
Grant: unidentified
unidentified
European Commission
Grant: 116074
Big Data 4 Better Hearts - Sofia ref.: 116074
Fields of Study
Keywords
Sustainable Development Goals