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Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders

Frontiers in Big Data(2024)10.3389/fdata.2024.1429910Source: DataRank Database

Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders is a research paper published in Frontiers in Big Data (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 0.24)OA: goldTopics (19)IDs (PubMed, OpenAlex)

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 (4)

Matthias Wilms ORCID,Sarah J. MacEachern ORCID,Nils D. Forkert ORCID,Gabrielle Dagasso ORCID

Live enrichment

PubMed:39722687 OpenAlex:https://openalex.org/W4405262041

FWCI

0.24

Citation Percentile

0.5%

Citation Trend

2025

goldLicense: cc-by

journalhttps://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1429910/pdf

publisherhttps://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1429910/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fdata.2024.1429910/full

journalhttps://doi.org/10.3389/fdata.2024.1429910

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39722687

Fields of Study

Functional Brain Connectivity StudiesGenetic Associations and EpidemiologyAttention Deficit Hyperactivity Disorder

Keywords

MorphometricsPhenotypeNeuroimagingGenotypeImaging geneticsBiologyGenotype-phenotype distinctionNeuroscienceMedicineGeneticsGeneZoologyGWASlocalized dimensionality reductionneurodevelopmental disordersprincipal component analysis