Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning is a research paper published in Beilstein Journal of Nanotechnology (2021). On theSindex it has a DataRank of 0.312. It has been cited 7 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?
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Base Score Contribution
0.312
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 →Seventh Framework Programme
Grant: No. 309837 (NanoPUZZLES project)
National Institutes of Health
Grant: No ES017552
Horizon 2020 Framework Programme
Grant: No 760928, BIORIMA
National Institutes of Health
Grant: 5R01ES017552-02
Integrative Studies to Define Drivers of Nanomaterial Toxicity
European Commission
Grant: 760928
BIOmaterial RIsk MAnagement
European Commission
Grant: 309837
Modelling properties, interactions, toxicity and environmental behaviour of engineered nanoparticles
FWCI
0.36
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords