reference/36242279

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36242279

Outgoing Links

Predicate	Object
contentType	Journal Article
issn	2296-2565
pageRange	1271328-
publicationName	Frontiers in Public Health
startingPage	1271328
bibliographicCitation	Cui H, Guo Y, Li Y, Zhang J, Wang Y, Yang L, Hu J, Wong HK, Bai Y, Ma Y, Chen F. Impact of quantitative safety targets on road fatality reduction: an empirical support toward governance plan. Front Public Health. 2023;11():1271328. PMID: 38026312; PMCID: PMC10662322.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7b1c7b04720d6dcad9fe4157ce94d901 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c9ae0f97caa7914e0288a7c9ba739f6c http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_3b359f61c65525239af98aeb507f8177 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_24bdfc4688220c33012959abd604630b http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_792428976a6c719484fcecb541ccbd93 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f1165eada84854e0dec2683f424ce7bd http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_470e0e903d06a1fa6cb74bff36d50933 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6efc9b6cbcf3461aee037f11fb7ca358 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f749cfdca0d90dd1b6d4e4932dc98ecc http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c4d04f44943a0611cd493c12fd6a4ebd http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e94e399a4b255799474c4aec7f513bac
date	2023-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/38026312 https://doi.org/10.3389/fpubh.2023.1271328 https://pubmed.ncbi.nlm.nih.gov/PMC10662322
isPartOf	http://rdf.ncbi.nlm.nih.gov/pubchem/journal/41731 https://portal.issn.org/resource/ISSN/2296-2565
language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Impact of quantitative safety targets on road fatality reduction: an empirical support toward governance plan
hasPrimarySubjectTerm	http://id.nlm.nih.gov/mesh/D000063Q000517
hasSubjectTerm	http://id.nlm.nih.gov/mesh/D011336 http://id.nlm.nih.gov/mesh/D012449

Total number of triples: 30.