Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients is a dataset published in PLoS Pathogens (2022). On theSindex it has a DataRank of 1.6, placing it in the top 13.1% of the data-sharing corpus. It has been cited 49 times, with 43 citing works in its 1-hop citation network.
Ranks in the top 13% 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
0.587
From this paper's citation signal
Citation Network Contribution
0.999
From 37 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 43 citers.
Regione Toscana
Grant: project COMETA, Bando COVID-19
FWCI
3.86
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals