metabolomicsR: a streamlined workflow to analyze metabolomic data in R is a research paper published in Bioinformatics Advances (2022). On theSindex it has a DataRank of 0.708. It has been cited 15 times, with 13 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.416
From this paper's citation signal
Citation Network Contribution
0.292
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 13 citers.
National Institutes of Health
Grant: R01 AI-148338, R01EY030088
NEI NIH HHS
Grant: R01 EY030088
NIAID NIH HHS
Grant: R01 AI148338
National Institutes of Health
Grant: 5R01AI148338-03
Infant blood epigenome and risks of IgE sensitization, obesity, and asthma: MARC-35/43 cohorts
National Institutes of Health
Grant: 2R01EY030088-06
Metabolomics a Novel Tool for Investigating the Pathogenesis of Age-related Macular Degeneration
FWCI
1.02
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals