MedusaScore: An Accurate Force Field-Based Scoring Function for Virtual Drug Screening is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0.429. It has been cited 7 times, with 6 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
0.312
From this paper's citation signal
Citation Network Contribution
0.117
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
FWCI
0.77
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords