reference/36364691

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36364691

Outgoing Links

Predicate	Object
contentType	Journal Article
endingPage	121449
issn	1614-7499
issueIdentifier	58
pageRange	121438-121449
publicationName	Environmental science and pollution research international
startingPage	121438
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_a2e243d386a95c88836adefa70e3d12a http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_23cfdc66e65f625eb03154ee8243d315
bibliographicCitation	Yin Q, Chen X, Jaiteh B, Guan Z, Jing Z, Qiu L, Fan L, Meng S, Song C. Quantitative benefit and risk assessment of arsenic and nutrient levels in tilapia products sold on Chinese e-commerce platforms. Environ Sci Pollut Res Int. 2023 Dec;30(58):121438–49. doi: 10.1007/s11356-023-30862-5. PMID: 37950127.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6360700c8c4933bc24acbe6539e148d4 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_8937b6f1f97067fc26222cd11134c722 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_82f569094afe08bd189ab480a5fd234c http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_3a9ee67621b6cec3759e526d3083b365 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-7207-1620 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_904bcfa064731cf77fba5dcfdf85f7a7 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_b140461191af555360df7eb1449f488c http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_fcf1fefba18dc2ade6e1a3726e288136 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_04377722b69619ab144ffcce7660f6ce
date	2023-11-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/37950127 https://doi.org/10.1007/s11356-023-30862-5
isPartOf	http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074 https://portal.issn.org/resource/ISSN/1614-7499
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Quantitative benefit and risk assessment of arsenic and nutrient levels in tilapia products sold on Chinese e-commerce platforms
discusses	http://id.nlm.nih.gov/mesh/M0001723

Total number of triples: 29.