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Circular and unified analysis in network neuroscience

RePEc: Research Papers in Economics(2022)10.31219/osf.io/mdqakSource: DataRank Database

Circular and unified analysis in network neuroscience is a research paper published in RePEc: Research Papers in Economics (2022). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: goldTopics (33)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 (1)

Mikail Rubinov ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W4223652731

National Science Foundation

Grant: 2207891

CRCNS US-Israel Research Proposal: Multiscale analysis of brain-wide neuromodulation

National Institutes of Health

Grant: 1RF1MH125933-01A1

Integrative analysis of multiomic datasets for discovery of molecular underpinnings of large-scale human brain networks

goldLicense: cc-by

https://osf.io/mdqak/download

https://doi.org/10.31219/osf.io/mdqak

repositoryhttps://osf.io/download/62547cf8be9ffc2a6da02b8a/

repositoryhttps://osf.io/mdqak

Fields of Study

Bioinformatics and Genomic NetworksCognitive Science and MappingGene Regulatory Network Analysis

Keywords

Benchmark (surveying)LimitingNeglectKey (lock)Computer scienceData scienceCognitive scienceNeuroscienceArtificial intelligencePsychologyEngineeringComputer securityComputational NeuroscienceStatistics and ProbabilityNeuroscience and Neurobiologynetwork neuroscienceStatistical ModelsQH301-705.5ScienceQRNeurosciencesLife Sciencesexplanatory modelsBrainbenchmark modelssystems neurosciencePhysical Sciences and MathematicsMedicineBiology (General)