Evaluation of gaze-to-object mapping algorithms for use in “real-world” translatable neuropsychological paradigms. is a research paper published in Psychology & Neuroscience (2023). On theSindex it has a DataRank of 0. It has been cited 3 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.
University of California
Grant: T30IP0962
National Institutes of Health
Grant: UL1TR001442