Splam: a deep-learning-based splice site predictor that improves spliced alignments is a research paper published in Genome biology (2024). On theSindex it has a DataRank of 0.583. It has been cited 21 times, with 17 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.464
From this paper's citation signal
Citation Network Contribution
0.119
From 9 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 17 citers.
NIMH NIH HHS
Grant: R01 MH123567
NHGRI NIH HHS
Grant: R01 HG006677
FWCI
3.36
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Splam: a deep-learning-based splice site predictor that improves spliced alignments
Additional file 1 of Splam: a deep-learning-based splice site predictor that improves spliced alignments
Additional file 2 of Splam: a deep-learning-based splice site predictor that improves spliced alignments
Additional file 2 of Splam: a deep-learning-based splice site predictor that improves spliced alignments