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Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments

British Journal Of Nutrition(2023)10.1017/s0007114523000090Source: DataRank Database

Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments is a research paper published in British Journal Of Nutrition (2023). On theSindex it has a DataRank of 0. It has been cited 38 times.

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Open Access38 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)Impact (FWCI 5.59)OA: hybridTopics (28)IDs (PubMed, PMC, OpenAlex)Annotations (1)

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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Authors (3)

Caleb F. Brandner ORCID,Grant M. Tinsley ORCID,Austin J. Graybeal ORCID

Live enrichment

PubMed:36632007 PMC:PMC10442791 OpenAlex:https://openalex.org/W4315754466

NIGMS NIH HHS

Grant: P20 GM103476

FWCI

5.59

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://doi.org/10.1017/s0007114523000090

publisherhttps://doi.org/10.1017/s0007114523000090

publisherhttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0007114523000090

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36632007

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10442791

Fields of Study

Body Composition Measurement TechniquesPhysical Activity and HealthObesity, Physical Activity, Diet

MeSH Terms

SmartphoneAnthropometryHumansBody Mass IndexWaist-Hip RatioWaist Circumference

Keywords

AnthropometryWaistIntraclass correlationCircumferenceMathematicsStatisticsTape measureEquivalence (formal languages)Waist–hip ratioCorrelation coefficientComputer scienceReproducibilityMedicineBody mass indexGeometryObesityMobile HealthBody Composition AssessmentDigital Anthropometry

Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments

FAIR Checklist

Authors (3)

Funding (1 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)