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Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach

Medical Image Analysis(2020)10.1016/j.media.2020.101656Source: DataRank Database

Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach is a research paper published in Medical Image Analysis (2020). On theSindex it has a DataRank of 2.6. It has been cited 87 times, with 65 citing works in its 1-hop citation network.

N/A

2.6DataRank · unranked

Scored on demand from live citation data

Open Access87 citations · 65 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 3.96)OA: bronzeTopics (37)IDs (PubMed, OpenAlex)SDGs (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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DataRank Breakdown

Base Score 26%Citation Network 74%

Base Score Contribution

0.672

From this paper's citation signal

Citation Network Contribution

1.9

From 54 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 65 citers.

Improved ASD classification using dynamic functional connectivity and multi-task feature selection
Pattern Recognition Letters202065 citations46 referencesContributes 0.091
Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer’s disease
Briefings in Bioinformatics202226 citations43 referencesContributes 0.077
Classifying breast cancer subtypes on multi-omics data via sparse canonical correlation analysis and deep learning
BMC Bioinformatics202445 citations53 referencesContributes 0.072
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer’s Disease diagnosis
Medical Image Analysis202343 citations53 referencesContributes 0.071
Multimodal cross enhanced fusion network for diagnosis of Alzheimer’s disease and subjective memory complaints
Computers in Biology and Medicine202335 citations51 referencesContributes 0.070

Authors (8)

Kefei Liu ORCID,Xiaohui Yao ORCID,Shannon L. Risacher ORCID,Junwei Han ORCID,Andrew J. Saykin ORCID

Live enrichment

PubMed:32062154 OpenAlex:https://openalex.org/W3002127012

NIA NIH HHS

Grant: R01 AG019771

NIA NIH HHS

Grant: P30 AG010133

NIA NIH HHS

Grant: U01 AG024904

NIA NIH HHS

Grant: RF1 AG063481

NIBIB NIH HHS

Grant: R01 EB022574

NIA NIH HHS

Grant: U19 AG024904

FWCI

3.96

Citation Percentile

1.0%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

bronzeLicense: http://www.elsevier.com/open-access/userlicense/1.0/

journalhttps://www.sciencedirect.com/science/article/am/pii/S1361841520300232?via%3Dihub

publisherhttps://www.sciencedirect.com/science/article/am/pii/S1361841520300232?via%3Dihub

publisherhttps://api.elsevier.com/content/article/PII:S1361841520300232?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1361841520300232?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.media.2020.101656

Fields of Study

Gene expression and cancer classificationStatistical Methods and InferenceGenetic Associations and EpidemiologyAlgorithmsAlzheimer DiseaseHumansMultivariate AnalysisNeuroimagingPhenotype

MeSH Terms

AlgorithmsAlzheimer DiseaseHumansPhenotypeMultivariate AnalysisNeuroimaging

Keywords

Lasso (programming language)Imaging geneticsCanonical correlationArtificial intelligenceNeuroimagingGraphComputer scienceMachine learningMultivariate statisticsAlzheimer's Disease Neuroimaging InitiativeCorrelationPattern recognition (psychology)MathematicsBiologyDiseaseTheoretical computer scienceAlzheimer's diseaseMedicineBrain imaging geneticsFused pairwise group LassoGraph guided pairwise group LassoSparse canonical correlation analysis (SCCA)

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions