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Multimodal subtypes identified in Alzheimer’s Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inference

Brain Communications(2024)10.1093/braincomms/fcae219Source: DataRank Database

Multimodal subtypes identified in Alzheimer’s Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inference is a research paper published in Brain Communications (2024). On theSindex it has a DataRank of 0. It has been cited 15 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access15 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (20 grants)Impact (FWCI 4.34)OA: goldTopics (26)IDs (PubMed, PMC, 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 (5)

Neil P. Oxtoby ORCID,Jonathan M. Schott ORCID,Daniel C. Alexander ORCID,Alexandra L. Young ORCID,Mar Estarellas ORCID

Live enrichment

PubMed:39035417 PMC:PMC11259979 OpenAlex:https://openalex.org/W4400000793

UK Research and Innovation

Grant: MR/S03546X/1

I-AIM: Individualised Artificial Intelligence for Medicine

EPSRC

Grant: EP/M020533/1

Medical image computing for next-generation healthcare technology

Medical Research Council’s Health Data Research UK

Grant: HDR-9006

Medical Research Council’s Health Data Research UK

Grant: CFC0110

Wellcome Trust Investigator in Science Award

Grant: 221915/Z/20/Z

JPND

Grant: MR/T046422/1

JPND: Early Detection of Alzheimer's Disease Subtypes

Skills Development Fellowship

Grant: MR/T027800/1

Identifying the genetic architecture of brain health and disease in the presence of heterogeneity and multi-morbidity

Medical Research Council and a Career Development Award from the Wellcome Trust

Grant: 227341/Z/23/Z

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

Canadian Institutes of Health Research

Grant: unidentified

unidentified

Wellcome Trust

Grant: 227341

Computational methods for disentangling the effects of mixed pathology in neurodegenerative disease

Wellcome Trust

Grant: 221915

Computational Modelling and Inference of Neurodegenerative Disease Propagation

Biomedical Research Centre

University College London Hospitals Biomedical Research Centre

Early Detection of Alzheimer's Disease Subtypes

Wellcome Trust

European Union Joint Programme for Neurological Disease Research

Medical Research Council, Alzheimer’s Research UK and the Alzheimer’s Association

Medical Research Council MRC

University College London Hospitals

FWCI

4.34

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/braincomms/advance-article-pdf/doi/10.1093/braincomms/fcae219/58327048/fcae219.pdf

publisherhttps://academic.oup.com/braincomms/advance-article-pdf/doi/10.1093/braincomms/fcae219/58327048/fcae219.pdf

publisherhttps://academic.oup.com/braincomms/article-pdf/6/4/fcae219/58888574/fcae219.pdf

journalhttps://doi.org/10.1093/braincomms/fcae219

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39035417

Fields of Study

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity StudiesHealth, Environment, Cognitive Aging0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

NeuroimagingAlzheimer's Disease Neuroimaging InitiativeInferenceStage (stratigraphy)Missing dataDiseaseAlzheimer's diseaseMedicinePsychologyArtificial intelligenceComputer scienceNeuroscienceInternal medicineMachine learningBiologyHeterogeneityAlzheimer’s diseaseSubtypingMultimodalOriginal Article