TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.287. It has been cited 4 times, with 2 citing works in its 1-hop citation network.
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
0.241
From this paper's citation signal
Citation Network Contribution
0.0459
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
National Institutes of Health
Grant: 5R01GM118470-07
COMPUTATIONAL TOOLS FOR PROTEOFORM IDENTIFICATION BY TOP-DOWNDATA INDEPENDENT ACQUISITION MASS SPECTROMETRY
National Institutes of Health
Grant: 5R01CA247863-03
Quantitative top-down proteomics of human colorectal cancer cells and tumors
NCI NIH HHS
Grant: R01 CA247863
NIGMS NIH HHS
Grant: R01 GM118470
Fields of Study
Keywords