An MSstats workflow for detecting differentially abundant proteins in large-scale data-independent acquisition mass spectrometry experiments with FragPipe processing is a research paper published in Nature Protocols (2024). On theSindex it has a DataRank of 0.396. It has been cited 13 times.
Scored on demand from live citation data
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
0.396
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Science Foundation
Grant: NSF-BIO/DBI-1950412
U.S. Department of Health & Human Services | National Institutes of Health
Grant: NIH-NLM-1R01LM013115
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01-GM-094231
U.S. Department of Health & Human Services | National Institutes of Health
Grant: U24-CA271037
NCI NIH HHS
Grant: U24 CA271037
NLM NIH HHS
Grant: R01 LM013115
NIGMS NIH HHS
Grant: R01 GM094231
National Institutes of Health
Grant: 5R01LM013115-03
MassIVE.quant: a curated and scalable community resource for quantitative proteomics
National Institutes of Health
Grant: 5R01GM094231-15
COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATA
National Institutes of Health
Grant: 3U24CA271037-04S1
Michigan Center for Translational Cancer Proteogenomics
U.S. Department of Health & Human Services | National Institutes of Health
FWCI
2.34
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals