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

Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography

Brain Topography(2021)10.1007/s10548-021-00850-4Source: DataRank Database

Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography is a research paper published in Brain Topography (2021). 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:

Linked data & code

Next Generation Noninvasive Magnetic Neuroimaging · University of California Office of the President

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: hybridTopics (33)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

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 (8)

Chang Cai ORCID,Danielle Mizuiri ORCID,Anne Findlay ORCID,Jessie Chen ORCID,Ashley Tay

Live enrichment

PubMed:34114168 PMC:PMC8664897

National Institutes of Health

Grant: R01EB022717

National Institutes of Health

Grant: R01NS100440

National Institutes of Health

Grant: R01DC176960

National Institutes of Health

Grant: R01DC017091

UCOP

Grant: UCOP-MRP-17-454755

Ricoh MEG Inc.

Grant: Ricoh MEG Inc.

NIDCD NIH HHS

Grant: R01 DC017696

NIDCD NIH HHS

Grant: R56 DC019282

NINDS NIH HHS

Grant: R21 NS076171

NIA NIH HHS

Grant: RF1 AG062196

National Institutes of Health

Grant: 3R01EB022717-04S1

Multimodal modeling framework for fusing structural and functional connectome data

National Institutes of Health

Grant: 1R01NS100440-01A1

Dynamic Brain Imaging of Speech in Primary Progressive Aphasia

National Institutes of Health

Grant: 1RF1AG062196-01

Network Modelling of Multimodal Dynamics in Alzheimer’s Disease and Dementia

National Institutes of Health

Grant: 5R01DC017091-03

The role of the cerebellum in speech

hybridLicense: cc-by

publisherhttps://link.springer.com/content/pdf/10.1007/s10548-021-00850-4.pdf

publisherhttps://link.springer.com/article/10.1007/s10548-021-00850-4/fulltext.html

repositoryhttps://escholarship.org/uc/item/24j3b8sf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8664897

Europe_PMChttps://europepmc.org/articles/PMC8664897

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansMagnetoencephalographyBrain MappingBayes TheoremEvoked Potentials, SomatosensoryAlgorithms

Keywords

MagnetoencephalographyBrain mappingMEGSensorimotor CortexFunctional MappingMsi, Magnetic Source ImagingClinical Sciences610SomatosensoryBioengineeringmagnetic source imagingClinical ResearchEvoked Potentials, SomatosensoryHumansEvoked PotentialsMSIOriginal PaperBiomedical and Clinical SciencesNeurosciencesExperimental PsychologyBayes TheoremBiomedical ImagingBiological psychologyCognitive SciencesAlgorithms

Sustainable Development Goals

SDG 13: 13. Climate action

Next Generation Noninvasive Magnetic Neuroimaging

10.17920/g9vw0xUniversity of California Office of the President