Improving confidence in lipidomic annotations by incorporating empirical ion mobility regression analysis and chemical class prediction is a dataset published in Bioinformatics (2022). On theSindex it has a DataRank of 0.594, placing it in the top 33.2% of the data-sharing corpus. It has been cited 14 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 33% 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
0.406
From this paper's citation signal
Citation Network Contribution
0.187
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institutes of Health
Grant: R03NS125243
U.S. Environmental Protection Agency
Grant: R839504
National Institutes of Health
Grant: 1R03NS125243-01
Understanding metabolic changes associated with chronic manganese exposure and Alzheimer's Disease
NIH
Center for Innovative Technology (CIT) at Vanderbilt University
FWCI
0.94
Citation Percentile
0.7%
Citation Trend
Fields of Study
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