Regulation of protein abundance in genetically diverse mouse populations is a dataset published in Cell Genomics (2021). On theSindex it has a DataRank of 1.1, placing it in the top 19.2% of the data-sharing corpus. It has been cited 50 times, with 23 citing works in its 1-hop citation network.
Ranks in the top 19% 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?
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Base Score Contribution
0.590
From this paper's citation signal
Citation Network Contribution
0.464
From 17 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 23 citers.
NIGMS
Grant: F32GM134599
NIGMS
Grant: R01GM067945
NIGMS
Grant: R01GM070683
NIAID
Grant: P01AI132130
NIAID
Grant: U19AI100625
NIEHS
Grant: R01ES029925
NIDDK NIH HHS
Grant: P30 DK056350
National Institutes of Health
Grant: 1F32GM134599-01A1
Bayesian Modeling of Mass-Spec Proteomics Data to Advance Studies of the Genetic Regulation of Proteins
National Institutes of Health
Grant: 5R01ES029925-04
Genetic underpinning of diabetes associated with arsenic exposure
National Institutes of Health
Grant: 3U19AI100625-08S1
Systems Immunogenetics of Biodefense and Emerging Pathogens in the Collaborative Cross
Fundação para a Ciência e a Tecnologia, I.P.
Grant: PTDC/CCI-INF/6762/2020
MS3: New foundations for micro-services and serverless systems
National Institutes of Health
Grant: 2R01GM067945-14
New and Disruptive Technologies to Study Ubiquitin Biology through Sample Multiplexing
National Institutes of Health
Grant: 5P01AI132130-05
Systems Genetics of Tuberculosis
National Institutes of Health
Grant: 5R01GM070683-14
Systems Genetic Analysis of Multi-parent Crosses
National Institutes of Health
University of Chicago
U.S. Department of Agriculture
University of North Carolina at Chapel Hill
FWCI
7.63
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Additional file 1 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 1 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 7 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 7 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 6 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 5 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 2 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 4 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 3 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 4 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 3 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 2 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 6 of Multi-omics analysis identifies drivers of protein phosphorylation
Additional file 5 of Multi-omics analysis identifies drivers of protein phosphorylation