Dataset of quantitative proteomic analysis to understand aging processes in rabbit liver is a dataset published in Data in Brief (2020). On theSindex it has a DataRank of 0.650, placing it in the top 30.6% of the data-sharing corpus. It has been cited 5 times, with 5 citing works in its 1-hop citation network.
Ranks in the top 31% for downstream scientific impact
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
0.269
From this paper's citation signal
Citation Network Contribution
0.381
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 5 citers.
NIGMS NIH HHS
Grant: R01 GM117191
National Institutes of Health
Grant: 3R01GM117191-04S1
Novel multiplexing proteomics to study the periphery in Alzheimer's disease
National Institutes of Health
Fields of Study
Keywords
Sustainable Development Goals