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

Computational Models in Electroencephalography

Clínicas pediátricas de Norteamérica(2021)10.1007/s10548-021-00828-2Source: DataRank Database

Computational Models in Electroencephalography is a research paper published in Clínicas pediátricas de Norteamérica (2021). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 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 (3 grants)OA: hybridTopics (51)IDs (PubMed)SDGs (2)

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 (6)

Joana Cabral ORCID,Anna Cattani ORCID,Alberto Mazzoni ORCID,Ashish Raj ORCID,Benedetta Franceschiello ORCID

Live enrichment

PubMed:33779888

National Institutes of Health

Grant: 5R01NS092802-03

Predictive model of spread of Parkinson's pathology using network diffusion

National Institutes of Health

Grant: 1RF1AG062196-01

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

National Institutes of Health

Grant: 1R56AG064873-01

Understanding the dynamic interactions between tau pathology and microglia-mediated inflammation in Alzheimer's Disease

hybridLicense: CC BY

https://doi.org/10.1007/s10548-021-00828-2

https://link.springer.com/content/pdf/10.1007/s10548-021-00828-2.pdf

https://dx.doi.org/10.48550/arxiv.2009.08385

https://pubmed.ncbi.nlm.nih.gov/33779888

http://dx.doi.org/10.1007/s10548-021-00828-2

Fields of Study

0302 clinical medicine03 medical and health sciences

Keywords

FOS: Computer and information sciencesComputational Engineering, Finance, and Science (cs.CE)Clinical Research (rcdc)Models1103 Clinical Sciences (for)Multiscale modeling32 Biomedical and Clinical Sciences (for-2020)Computer Science - Computational Engineering, Finance, and ScienceNeurosciences (rcdc)Humans (mesh)Networking and Information Technology R&D (NITRD) (rcdc)Bioengineering (rcdc)BrainExperimental PsychologyComputational modelingElectroencephalography3209 Neurosciences (for-2020)004Networking and Information Technology R&D (NITRD)NeurologicalMental healthCognitive SciencesNeurons and Cognition (q-bio.NC)Electroencephalography (mesh)1.1 Normal biological development and functioningClinical SciencesModels, Neurological610BioengineeringClinical applicationsBrain (mesh)Experimental Psychology (science-metrix)Clinical ResearchHumansComputer Simulation1.1 Normal biological development and functioning (hrcs-rac)Original PaperBiomedical and Clinical SciencesNeurological (hrcs-hc)Neurosciences1109 Neurosciences (for)Mental health (hrcs-hc)Computer Simulation (mesh)5202 Biological psychology (for-2020)Quantitative Biology - Neurons and CognitionFOS: Biological sciences1702 Cognitive Sciences (for)Biological psychologyNeurological (mesh)

Sustainable Development Goals

SDG 3: 3. Good healthSDG 13: 13. Climate action