XCMS-METLIN: data-driven metabolite, lipid, and chemical analysis is a dataset published in Molecular Systems Biology (2024). On theSindex it has a DataRank of 0.460, placing it in the top 41.2% of the data-sharing corpus. It has been cited 15 times, with 13 citing works in its 1-hop citation network.
Ranks in the top 41% 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
0.416
From this paper's citation signal
Citation Network Contribution
0.0440
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 13 citers.
HHS | National Institutes of Health
Grant: R35 GM130385
HHS | National Institutes of Health
Grant: U01 CA235493
Novo Nordisk Fonden
Grant: NNF21CC0073729
Novo Nordisk Fonden
Grant: reNEW
NIGMS NIH HHS
Grant: R01 GM141277
Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW)
Grant: reNEW LUMC
NIEHS NIH HHS
Grant: P42 ES027704
Novo Nordisk Foundation
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R35GM130385-04
Metabolomics Technologies to Advance Biomedical Research
National Institutes of Health
Grant: 1U01CA235493-01
Mummichog 3, aligning mass spectrometry data to biological networks
FWCI
2.35
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords