Peekbank: An open, large-scale repository for developmental eye-tracking data of children’s word recognition is a dataset published in DSpace@MIT (Massachusetts Institute of Technology) (2022). On theSindex it has a DataRank of 0.337, placing it in the top 51.6% of the data-sharing corpus. It has been cited 6 times, with 4 citing works in its 1-hop citation network.
Ranks in the top 52% for downstream scientific impact
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
0.292
From this paper's citation signal
Citation Network Contribution
0.0456
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 4 citers.
National Institutes of Health
Grant: 5R01HD069150-08
Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factors
National Institutes of Health
Grant: 5R01HD092343-03
Early language processing skill and school-relevant outcomes in emerging bilingual students
Fields of Study
Keywords
Sustainable Development Goals