Multiplex SERS detection of polycyclic aromatic hydrocarbon (PAH) pollutants in water samples using gold nanostars and machine learning analysis is a research paper published in The Analyst (2023). On theSindex it has a DataRank of 0.538. It has been cited 35 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
0.538
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 →Fogarty International Center
Grant: R01GM135486 (NIGMS)
Fogarty International Center
Grant: 1R01DE030455 (NIDCR)
Bill and Melinda Gates Foundation
Grant: INV-040790
National Defense Science and Engineering Graduate
Grant: 00007902
NIGMS NIH HHS
Grant: R01 GM135486
NIDCR NIH HHS
Grant: R01 DE030455
FWCI
2.20
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals