Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream is a research paper published in eLife (2023). On theSindex it has a DataRank of 0.263. It has been cited 4 times, with 1 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
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
0.0216
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
National Institute of Mental Health
Grant: ZIAMH002032
National Institute of Neurological Disorders and Stroke
Grant: F99NS125816
National Institutes of Health
Grant: 1ZIAMH002032-49
Neural Coding of Visual Stimuli
National Institutes of Health
Grant: 1F99NS125816-01
Biologically Plausible Computational Models of Perirhinal Cortex
FWCI
0.61
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords