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Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer’s disease

medRxiv(2025)10.1101/2025.02.27.25322897Source: DataRank Database

Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer’s disease is a dataset published in medRxiv (2025). On theSindex it has a DataRank of 0.137, placing it in the top 70.6% of the data-sharing corpus. It has been cited 1 time, with 1 citing works in its 1-hop citation network.

Top 71%percentile

0.137DataRank

Ranks in the top 71% for downstream scientific impact

Data paper Open Access1 citations · 1 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (14 grants)OA: greenTopics (35)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 (1/3)

Dataset classification

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DataRank Breakdown

Base Score 76%Citation Network 24%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

0.0334

From 1 citing papers with measurable signal

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Top 1 citer driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 1 citer.

Inflammatory Pathways and Immune Microenvironment in Non‐Small Cell Lung Cancer: Multi‐Dimensional Analysis and Machine Learning Prediction
Journal of Cellular and Molecular Medicine20252 citations28 referencesContributes 0.039

Authors (4)

Daniel Felsky ORCID,Jessica Gronsbell ORCID,Jun Young Park ORCID,Yuan Tian ORCID

Live enrichment

PubMed:40093259 OpenAlex:https://openalex.org/W4408111203

Wellcome Trust

Grant: 082604

A Powerful, Genome-Wide Association Scan for Susceptibility Genes for late-onset Alzheimer's disease

National Institutes of Health

Grant: 1R01AG033193-01

Collaborative GWAS of Dementia, AD and related MRI and Cognitive Endophenotypes

National Institutes of Health

Grant: 2R01HL105756-07

CHARGE consortium: gene discovery for CVD and aging phenotypes

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

National Institutes of Health

Grant: N01AG012100-017

AGES STUDY-THE REYKJAVIK STUDY OF HEALTHY AGING FOR THE NEW MILLENNIUM-260012100

National Institutes of Health

Grant: 5U24AG021886-18

National Cell Repository for Alzheimer's Disease (NCRAD)

National Institutes of Health

Grant: 5U01AG032984-15

Alzheimer's Disease Genetics Consortium

National Institutes of Health

Grant: 5U01AG016976-03

ALZHEIMERS DISEASE DATA COORDINATING CENTER

NIA NIH HHS

Grant: U24 AG021886

NIA NIH HHS

Grant: U01 AG032984

NIA NIH HHS

Grant: U01 AG016976

NHLBI NIH HHS

Grant: R01 HL105756

NIA NIH HHS

Grant: R01 AG033193

Wellcome Trust

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2025/03/03/2025.02.27.25322897.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.02.27.25322897

repositoryhttps://doi.org/10.1101/2025.02.27.25322897

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40093259

Fields of Study

Advanced Neuroimaging Techniques and ApplicationsGenetic Associations and EpidemiologyMRI in cancer diagnosis0301 basic medicine03 medical and health sciences

Keywords

Imaging geneticsBiobankNeuroimagingGenome-wide association studyModality (human–computer interaction)Mendelian randomizationCausality (physics)Genetic associationGenomicsPsychologyComputer scienceData scienceComputational biologyNeuroscienceBiologyGenetic variantsBioinformaticsArtificial intelligenceGeneticsGenomeGeneSingle-nucleotide polymorphismArticleResearch ArticleAlzheimer’s diseaseTWAScausal inferenceimaging-driven phenotypesinstrumental variablesummary statistics

Sustainable Development Goals

SDG 0: Partnerships for the goals