Proteome-Scale Tissue Mapping Using Mass Spectrometry Based on Label-Free and Multiplexed Workflows is a research paper published in Molecular & Cellular Proteomics (2024). On theSindex it has a DataRank of 0.425. It has been cited 16 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
0.425
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 Institutes of Health
Grant: 60201
Biological and Environmental Research
Grant: DE-AC05-76RL01830
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: U54DK127823
NIGMS NIH HHS
Grant: R01 GM094231
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: 5U54DK127823-02
Multi-omic 3D tissue maps for a Human BioMolecular Atlas
Office of Science
FWCI
2.69
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords