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

AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis

Journal of cardiovascular computed tomography(2024)10.1016/j.jcct.2024.04.005Source: DataRank Database

AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis is a dataset published in Journal of cardiovascular computed tomography (2024). On theSindex it has a DataRank of 0.482, placing it in the top 39.6% of the data-sharing corpus. It has been cited 18 times, with 5 citing works in its 1-hop citation network.

Top 40%percentile

0.482DataRank

Ranks in the top 40% for downstream scientific impact

Data paper Open Access18 citations · 5 citing works in its network

Download PDF

Cite:

Linked data & code

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 (27 grants)Impact (FWCI 5.33)OA: hybridTopics (39)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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.

DataRank Breakdown

Base Score 92%Citation Network 8%

Base Score Contribution

0.442

From this paper's citation signal

Citation Network Contribution

0.0408

From 2 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 5 citers.

Differential Impact of Left Ventricular Myocardium and Left Coronary Radiation Dose With Incident Heart Failure and Coronary Events in Lung Cancer Radiation Therapy
International Journal of Radiation Oncology*Biology*Physics20254 citations59 referencesContributes 0.027
Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy
Frontiers in Cardiovascular Medicine20253 citations67 referencesContributes 0.021
AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure
European Heart Journal - Cardiovascular Imaging20260 citations31 referencesContributes 0.000
AI-enabled cardiac volumetry on non-contrast calcium scoring CT for predicting atrial fibrillation and mortality
Journal of cardiovascular computed tomography20260 citations16 referencesContributes 0.000
AI-driven advances in vascular aging research: From mechanisms to precision medicine
Ageing Research Reviews20260 citations178 referencesContributes 0.000

Authors (16)

David F. Yankelevitz ORCID,Anthony P. Reeves ORCID,Matthew J. Budoff ORCID,Dong Li ORCID,Kyle Atlas ORCID

Live enrichment

PubMed:38653606 PMC:PMC11216863 OpenAlex:https://openalex.org/W4395045053

National Heart, Lung, and Blood Institute

Grant: UL1-TR-000040

National Heart, Lung, and Blood Institute

Grant: UL1-TR-001420

National Heart, Lung, and Blood Institute

Grant: UL1-TR-001079

NHLBI NIH HHS

Grant: 75N92020D00007

NHLBI NIH HHS

Grant: N01 HC095160

NHLBI NIH HHS

Grant: N01 HC095162

NHLBI NIH HHS

Grant: N01 HC095165

NHLBI NIH HHS

Grant: 75N92020D00005

NHLBI NIH HHS

Grant: N01 HC095159

NHLBI NIH HHS

Grant: N01 HC095166

NHLBI NIH HHS

Grant: N01 HC095168

NHLBI NIH HHS

Grant: N01 HC095169

NIAMS NIH HHS

Grant: R42 AR070713

NHLBI NIH HHS

Grant: N01 HC095164

NHLBI NIH HHS

Grant: N01 HC095163

NCATS NIH HHS

Grant: UL1 TR001420

NHLBI NIH HHS

Grant: 75N92020D00002

NHLBI NIH HHS

Grant: 75N92020D00003

NHLBI NIH HHS

Grant: R01 HL146666

NHLBI NIH HHS

Grant: 75N92020D00004

NHLBI NIH HHS

Grant: 75N92020D00006

NHLBI NIH HHS

Grant: N01 HC095161

NHLBI NIH HHS

Grant: N01 HC095167

NHLBI NIH HHS

Grant: 75N92020D00001

NCATS NIH HHS

Grant: UL1 TR001079

NIH

National Center for Advancing Translational Sciences

FWCI

5.33

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

hybridLicense: cc-by-nc-nd

journalhttp://www.journalofcardiovascularct.com/article/S1934592524000790/pdf

publisherhttp://www.journalofcardiovascularct.com/article/S1934592524000790/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1934592524000790?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1934592524000790?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jcct.2024.04.005

Fields of Study

Atrial Fibrillation Management and OutcomesCardiac Imaging and DiagnosticsCardiovascular Disease and Adiposity

MeSH Terms

Computed Tomography AngiographyAgedAged, 80 and overArtificial IntelligenceAtrial FibrillationCoronary Artery DiseaseFemaleHeart AtriaHumansMaleMiddle AgedPeptide FragmentsPredictive Value of TestsPrognosisRadiographic Image Interpretation, Computer-AssistedRisk FactorsTime FactorsUnited StatesReproducibility of ResultsBiomarkersIncidenceCoronary AngiographyRisk AssessmentNatriuretic Peptide, BrainAsymptomatic DiseasesVascular Calcification

Keywords

MedicineCardiologyAtrial fibrillationInternal medicineCoronary artery calciumCoronary artery diseaseArtificial intelligenceNT-proBNPLeft Atrial VolumeCharge-af

Sustainable Development Goals

SDG 0: Good health and well-being

Related Papers (1)

Incidence, risk factors, and mortality of atrial fibrillation in breast cancer: a SEER-Medicare analysis

Top 4%

5.2DataRank

European Heart Journal(2021)

co-cited

10.1093/eurheartj/ehab745

AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (16)

Funding (27 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)

Related Papers (1)