This HTML5 document contains 24 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

PrefixNamespace IRI
n11https://doi.org/10.2196/
dcthttp://purl.org/dc/terms/
covidprhttp://ns.inria.fr/covid19/property/
fabiohttp://purl.org/spar/fabio/
dcehttp://purl.org/dc/elements/1.1/
schemahttp://schema.org/
rdfshttp://www.w3.org/2000/01/rdf-schema#
bibohttp://purl.org/ontology/bibo/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n4http://ns.inria.fr/covid19/PMC7199804#
covidhttp://ns.inria.fr/covid19/
xsdhhttp://www.w3.org/2001/XMLSchema#
Subject Item
covid:PMC7199804
rdf:type
fabio:ResearchPaper bibo:AcademicArticle schema:ScholarlyArticle
rdfs:isDefinedBy
covid:dataset-1-2
dct:title
Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study
dce:creator
Eysenbach, Gunther Xu, Huilan Yu, Xiaoyan Zhao, Yuxin Liu, Ying Gunasekeran, Dinesh Cheng, Sixiang
dct:source
Medline; PMC
dct:abstract
n4:abstract
dct:issued
2020-05-04
bibo:doi
10.2196/18825
bibo:pmid
32314976
dct:license
cc-by
schema:url
n11:18825
covidpr:hasTitle
n4:title
fabio:hasPubMedCentralId
PMC7199804
fabio:hasPubMedId
32314976
schema:publication
J Med Internet Res
covidpr:hasBody
n4:body_text