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Time-to-event modeling of hypertension reveals the nonexistence of true controls

eLife(2020)10.7554/elife.62998Source: DataRank Database

Time-to-event modeling of hypertension reveals the nonexistence of true controls is a research paper published in eLife (2020). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

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0.104DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.14)OA: goldTopics (81)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (3)

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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (8)

Amy R. Bentley ORCID,Jie Zhou ORCID,Kenneth Ekoru ORCID,Ayo P. Doumatey ORCID,Guanjie Chen ORCID

Live enrichment

PubMed:33258447 PMC:PMC7707825 OpenAlex:https://openalex.org/W3110099723

National Human Genome Research Institute

Grant: 1ZIAHG200362

Intramural NIH HHS

Grant: ZIA HG200362

National Institutes of Health

Grant: 1ZIAHG200362-06

Genetic epidemiology of complex diseases

FWCI

0.14

Citation Percentile

0.5%

Citation Trend

2022

goldLicense: cc-by

journalhttps://doi.org/10.7554/elife.62998

publisherhttps://doi.org/10.7554/elife.62998

publisherhttps://cdn.elifesciences.org/articles/62998/elife-62998-v1.pdf

publisherhttps://cdn.elifesciences.org/articles/62998/elife-62998-v1.xml

publisherhttps://elifesciences.org/articles/62998

Fields of Study

Blood Pressure and Hypertension StudiesNutritional Studies and DietDiabetes, Cardiovascular Risks, and Lipoproteins03 medical and health sciences0302 clinical medicineAdultBlack or African AmericanAge FactorsAge of OnsetAgedAged, 80 and overBayes TheoremCase-Control StudiesFemaleHumansHypertensionLogistic ModelsMaleMexican AmericansMiddle AgedModels, BiologicalModels, StatisticalRisk Assessment

MeSH Terms

AdultAge FactorsAgedAged, 80 and overBayes TheoremBlack or African AmericanFemaleHumansHypertensionMaleMiddle AgedModels, BiologicalModels, StatisticalLogistic ModelsCase-Control StudiesMexican AmericansAge of OnsetRisk Assessment

Keywords

Logistic regressionDemographyHazard ratioMedicineHazardEpidemiologyBaseline (sea)Proportional hazards modelGerontologyInternal medicineConfidence intervalBiologyHumanHypertensionGlobal HealthHealth DisparityTime-to-eventAdultMaleQH301-705.5ScienceModels, BiologicalRisk AssessmentMexican AmericansHumansBiology (General)Age of OnsetAgedAged, 80 and overModels, StatisticalQRAge FactorsBayes TheoremMiddle AgedBlack or African AmericanEpidemiology and Global HealthLogistic ModelsCase-Control StudiesFemale

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 3: 3. Good healthSDG 0: Good health and well-being