Method for assessing visual saliency in children with cerebral/cortical visual impairment using generative artificial intelligence is a research paper published in Frontiers in Human Neuroscience (2025). On theSindex it has a DataRank of 0.241. It has been cited 4 times, with 4 citing works in its 1-hop citation network.
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.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →NEI NIH HHS
Grant: P30 EY029220
National Institutes of Health
Grant: 5K23EY033790-03
Validating a machine learning model of eye tracking in children with cortical visual impairment (CVI)
FWCI
2.72
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals