Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

A Telescopic Independent Component Analysis on Functional Magnetic Resonance Imaging Data Set

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.19.581086Source: DataRank Database

A Telescopic Independent Component Analysis on Functional Magnetic Resonance Imaging Data Set is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

Download PDF

Cite:

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 (7 grants)OA: greenTopics (25)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (4)

Ashkan Faghiri ORCID,Vince D. Calhoun ORCID,Armin Iraji ORCID,Shiva Mirzaeian

Live enrichment

PubMed:39386484 OpenAlex:https://openalex.org/W4392201559

National Institutes of Health

Grant: 1U24RR025736-01

BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)

National Institutes of Health

Grant: 5U24RR021992-04

FUNCTION BIRN

National Science Foundation

Grant: 2112455

CREST Center for Dynamic Multiscale and Multimodal Brain Mapping Over The Lifespan [D-MAP]

National Institutes of Health

Grant: 1R01MH123610-01A1

Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivity

NIMH NIH HHS

Grant: R01 MH123610

NCRR NIH HHS

Grant: U24 RR021992

NCRR NIH HHS

Grant: U24 RR025736

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/02/22/2024.02.19.581086.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.02.19.581086

repositoryhttps://doi.org/10.1101/2024.02.19.581086

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39386484

Fields of Study

Functional Brain Connectivity StudiesBlind Source Separation TechniquesNeural dynamics and brain function05 social sciences0501 psychology and cognitive sciences

Keywords

Default mode networkIndependent component analysisFunctional magnetic resonance imagingComputer scienceHierarchySet (abstract data type)Artificial intelligenceSchizophrenia (object-oriented programming)Pattern recognition (psychology)Network analysisComponent (thermodynamics)Function (biology)NeurosciencePsychologyMethodsArticleMulti-spatial-scale intrinsic connectivity networksResting-state functional magnetic resonance imaging (fMRI)independent component analysis (ICA)schizophrenia