Predicting the translation efficiency of messenger RNA in mammalian cells is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.495, placing it in the top 38.8% of the data-sharing corpus. It has been cited 13 times, with 10 citing works in its 1-hop citation network.
Ranks in the top 39% 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
0.396
From this paper's citation signal
Citation Network Contribution
0.0989
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 10 citers.
National Institutes of Health
Grant: 5R35GM150667-02
Single cell quantification of translation control in early mouse development
National Institutes of Health
Grant: 5R21HD110096-02
Translational regulation of limb bud initiation
NICHD NIH HHS
Grant: R21 HD110096
NIGMS NIH HHS
Grant: R35 GM150667
Fields of Study
Keywords