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Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study

EClinicalMedicine(2022)10.1016/j.eclinm.2022.101773Source: DataRank Database

Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study is a research paper published in EClinicalMedicine (2022). On theSindex it has a DataRank of 0.510. It has been cited 29 times.

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0.510DataRank · unranked

Scored on demand from live citation data

Open Access29 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)OA: goldTopics (5)Linked Datasets (6)DataCite Reuse (6)IDs (PubMed, PMC)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.510

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (9)

Benjamin Landré ORCID,Pedro Marques‐Vidal ORCID,Vincent T. van Hees ORCID,April C. E. van Gennip ORCID,Mikaela Bloomberg ORCID

Live enrichment

PubMed:36568684 PMC:PMC9772789

National Institutes of Health

Grant: R01AG056477

National Institute on Aging

Grant: RF1AG062553

Agence Nationale de la Recherche

Grant: ANR-19-CE36-0004-01