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LACE Index to Predict the High Risk of 30-Day Readmission in Patients With Acute Myocardial Infarction at a University Affiliated Hospital

Frontiers in Cardiovascular Medicine(2022)10.3389/fcvm.2022.925965Source: DataRank Database

LACE Index to Predict the High Risk of 30-Day Readmission in Patients With Acute Myocardial Infarction at a University Affiliated Hospital is a research paper published in Frontiers in Cardiovascular Medicine (2022). On theSindex it has a DataRank of 0.416. It has been cited 15 times.

N/A

0.416DataRank · unranked

Scored on demand from live citation data

15 citations

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:OA: goldTopics (6)IDs (PubMed, PMC)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.416

From this paper's citation signal

Citation Network Contribution

0

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (5)

Tae Hyun Kim ORCID,Whiejong Han,Jaeyong Shin ORCID,Sang Gyu Lee ORCID,Vasuki Rajaguru

Live enrichment

PubMed:35898272 PMC:PMC9309494

goldLicense: cc-by

publisherhttps://doi.org/10.3389/fcvm.2022.925965

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9309494

repositoryhttps://doaj.org/article/ef72df2ff4b541289b87c21877ce25b9

repositoryhttps://ir.ymlib.yonsei.ac.kr/handle/22282913/189490

Europe_PMChttps://europepmc.org/articles/PMC9309494

Keywords

PredictionAcute myocardial infarctionQuality improvementrisk assessmentHospitalReadmission