A validation framework for neuroimaging software: The case of population receptive fields is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 55 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
H2020 Marie Skłodowska-Curie Actions
Grant: H2020-MSCA-IF-2017-795807-ReCiModel
National Institutes of Health
Grant: EY027401
National Institutes of Health
Grant: EY027964
National Institutes of Health
Grant: MH111417
NIMH NIH HHS
Grant: R01 MH111417
NEI NIH HHS
Grant: R01 EY027401
NEI NIH HHS
Grant: R01 EY027964
European Commission
Grant: 795807
Multimodal characterization of the visual word form area: An integrative computational model
National Institutes of Health
Grant: 5R01EY027401-07
Linking brain and behavior across and around the visual field
National Institutes of Health
Grant: 5R01MH111417-02
Development and validation of empirical models of the neuronal population activity underlying non-invasive human brain measurements
National Institutes of Health
Grant: 1R01EY027401-01A1
Linking brain and behavior 'around' the visual field
National Institutes of Health
Grant: 5R01EY027964-02
Studying crowding as a window into object recognition and development and health of visual cortex
FWCI
3.56
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords