Proteomics and machine learning in the prediction and explanation of low pectoralis muscle area is a research paper published in Scientific Reports (2024). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
Scored on demand from live citation data
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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
0.104
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 Heart, Lung, and Blood Institute
Grant: T32HL105346
National Heart, Lung, and Blood Institute
Grant: T32HL007633
National Heart, Lung, and Blood Institute
Grant: U01HL089897
National Heart, Lung, and Blood Institute
Grant: R01HL116931
National Heart, Lung, and Blood Institute
Grant: K08HL145118
NHLBI NIH HHS
Grant: R01 HL122464
NHLBI NIH HHS
Grant: L70 HL165665
NHLBI NIH HHS
Grant: R01 HL173017
NHLBI NIH HHS
Grant: U01 HL089856
NHLBI NIH HHS
Grant: R01 HL149861
NHLBI NIH HHS
Grant: R01 HL164824
COPD Foundation
FWCI
0.23
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals