SVMtm: Support vector machines to predict transmembrane segments is a research paper published in Journal of Computational Chemistry (2004). On theSindex it has a DataRank of 4.4. It has been cited 88 times, with 84 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.673
From this paper's citation signal
Citation Network Contribution
3.7
From 76 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 84 citers.
FWCI
2.39
Citation Percentile
0.9%
Citation Trend
Fields of Study
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