PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2018). On theSindex it has a DataRank of 1.1. It has been cited 21 times, with 11 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
0.616
From 11 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 11 citers.
Fields of Study
Keywords
Sustainable Development Goals
PhenoMeNal: processing and analysis of metabolomics data in the cloud.