Findings from the Longitudinal CINRG Becker Natural History Study is a dataset published in Journal of Neuromuscular Diseases (2023). On theSindex it has a DataRank of 0.610, placing it in the top 32.3% of the data-sharing corpus. It has been cited 9 times, with 8 citing works in its 1-hop citation network.
Ranks in the top 32% 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
0.345
From this paper's citation signal
Citation Network Contribution
0.265
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 8 citers.
NIAMS NIH HHS
Grant: P50 AR060836
NCATS NIH HHS
Grant: K12 TR004364
National Institutes of Health
Grant: 5P50AR060836-05
RNA fidelity and protein function of Becker-like in-frame deletions
FWCI
0.84
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords