RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction is a dataset published in Journal of Molecular Biology (2024). On theSindex it has a DataRank of 1.1, placing it in the top 18.8% of the data-sharing corpus. It has been cited 33 times, with 28 citing works in its 1-hop citation network.
Ranks in the top 19% for downstream scientific impact
Linked data & code
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
0.529
From this paper's citation signal
Citation Network Contribution
0.548
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 28 citers.
NIH
Grant: 1R01GM144423
NIH
Grant: 1R21GM148902
NIGMS NIH HHS
Grant: R21 GM148902
NIGMS NIH HHS
Grant: R01 GM144423
National Institutes of Health
Grant: 5R01GM144423-02
Discovery of structural RNAs involved in human health and disease
National Institutes of Health
Grant: 5R21GM148902-02
An all-in-one web server for RNA structure prediction using evolutionary information
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