CovidStanfordV1, Main, Exploration, bibRecord, 000797

Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.

Identifieur interne : 000797 ( Main/Exploration ); précédent : 000796; suivant : 000798

Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.

Auteurs : Sunmoo Yoon ; Michelle Odlum [États-Unis] ; Peter Broadwell [États-Unis] ; Nicole Davis ; Hwayoug Cho ; Nanyi Deng [États-Unis] ; Maria Patrao ; Deborah Schauer ; Michael E. Bales ; Carmela Alcantara [États-Unis]

Source :

Studies in health technology and informatics [ 1879-8365 ] ; 2020.

RBID : pubmed:32604586

Descripteurs français

English descriptors

KwdEn :
- Analgesics, Opioid (MeSH), Betacoronavirus (MeSH), COVID-19 (MeSH), Cannabis (MeSH), Coronavirus Infections (MeSH), Humans (MeSH), Pandemics (MeSH), Pneumonia, Viral (MeSH), SARS-CoV-2 (MeSH), Social Media (MeSH), Social Networking (MeSH), Substance-Related Disorders (MeSH).
MESH :
- chemical : Analgesics, Opioid.
- Betacoronavirus, COVID-19, Cannabis, Coronavirus Infections, Humans, Pandemics, Pneumonia, Viral, SARS-CoV-2, Social Media, Social Networking, Substance-Related Disorders.

Abstract

We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 (n= 2,558,474 Tweets). We randomly extracted 16,154 Tweets mentioning cannabis and 4,670 Tweets mentioning opioids from the COVID-19 Tweet corpora for our analysis. The cannabis related Tweets created by 6,144 users were disseminated to 280,042,783 users and retweeted 11 times the number of original messages while opioid-related Tweets created by 3,412 users were disseminated to smaller number of users. The opioids Twitter network showed more cohesive online group activities and a cleaner online environment with less disinformation. The cannabis Twitter network showed a less desirable online environment with more disinformation (false information to mislead the public) and stakeholders lacking strong science knowledge. Application of SNA to Tweets provides insights for future online-based drug abuse research during the outbreak.

DOI: 10.3233/SHTI200479
PubMed: 32604586
PubMed Central: PMC7337407

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000557
to stream Main, to step Curation: 000557

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.</title>
<author><name sortKey="Yoon, Sunmoo" sort="Yoon, Sunmoo" uniqKey="Yoon S" first="Sunmoo" last="Yoon">Sunmoo Yoon</name>
<affiliation><nlm:affiliation>Columbia University Medical Center.</nlm:affiliation>
<wicri:noCountry code="no comma">Columbia University Medical Center.</wicri:noCountry>
<wicri:noCountry code="no comma">Columbia University Medical Center.</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Odlum, Michelle" sort="Odlum, Michelle" uniqKey="Odlum M" first="Michelle" last="Odlum">Michelle Odlum</name>
<affiliation wicri:level="4"><nlm:affiliation>School of Nursing, Columbia University.</nlm:affiliation>
<country>États-Unis</country>
<placeName><settlement type="city">New York</settlement>
<region type="state">État de New York</region>
</placeName>
<orgName type="university">Université Columbia</orgName>
</affiliation>
</author>
<author><name sortKey="Broadwell, Peter" sort="Broadwell, Peter" uniqKey="Broadwell P" first="Peter" last="Broadwell">Peter Broadwell</name>
<affiliation wicri:level="4"><nlm:affiliation>Stanford University.</nlm:affiliation>
<country>États-Unis</country>
<placeName><settlement type="city">Stanford (Californie)</settlement>
<region type="state">Californie</region>
</placeName>
<orgName type="university">Université Stanford</orgName>
</affiliation>
</author>
<author><name sortKey="Davis, Nicole" sort="Davis, Nicole" uniqKey="Davis N" first="Nicole" last="Davis">Nicole Davis</name>
<affiliation><nlm:affiliation>School of Nursing, Clemson University.</nlm:affiliation>
<wicri:noCountry code="subField">Clemson University</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Cho, Hwayoug" sort="Cho, Hwayoug" uniqKey="Cho H" first="Hwayoug" last="Cho">Hwayoug Cho</name>
<affiliation><nlm:affiliation>College of Nursing, University of Florida.</nlm:affiliation>
<wicri:noCountry code="subField">University of Florida</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Deng, Nanyi" sort="Deng, Nanyi" uniqKey="Deng N" first="Nanyi" last="Deng">Nanyi Deng</name>
<affiliation wicri:level="4"><nlm:affiliation>School of Professional Studies, Columbia University.</nlm:affiliation>
<country>États-Unis</country>
<placeName><settlement type="city">New York</settlement>
<region type="state">État de New York</region>
</placeName>
<orgName type="university">Université Columbia</orgName>
</affiliation>
</author>
<author><name sortKey="Patrao, Maria" sort="Patrao, Maria" uniqKey="Patrao M" first="Maria" last="Patrao">Maria Patrao</name>
<affiliation><nlm:affiliation>New York Presbyterian Hospital.</nlm:affiliation>
<wicri:noCountry code="no comma">New York Presbyterian Hospital.</wicri:noCountry>
<wicri:noCountry code="no comma">New York Presbyterian Hospital.</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Schauer, Deborah" sort="Schauer, Deborah" uniqKey="Schauer D" first="Deborah" last="Schauer">Deborah Schauer</name>
</author>
<author><name sortKey="Bales, Michael E" sort="Bales, Michael E" uniqKey="Bales M" first="Michael E" last="Bales">Michael E. Bales</name>
<affiliation><nlm:affiliation>Weill Cornell Medicine.</nlm:affiliation>
<wicri:noCountry code="no comma">Weill Cornell Medicine.</wicri:noCountry>
<wicri:noCountry code="no comma">Weill Cornell Medicine.</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Alcantara, Carmela" sort="Alcantara, Carmela" uniqKey="Alcantara C" first="Carmela" last="Alcantara">Carmela Alcantara</name>
<affiliation wicri:level="4"><nlm:affiliation>School of Social Work, Columbia University, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Social Work, Columbia University</wicri:regionArea>
<placeName><settlement type="city">New York</settlement>
<region type="state">État de New York</region>
</placeName>
<orgName type="university">Université Columbia</orgName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32604586</idno>
<idno type="pmid">32604586</idno>
<idno type="doi">10.3233/SHTI200479</idno>
<idno type="pmc">PMC7337407</idno>
<idno type="wicri:Area/Main/Corpus">000557</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000557</idno>
<idno type="wicri:Area/Main/Curation">000557</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000557</idno>
<idno type="wicri:Area/Main/Exploration">000557</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.</title>
<author><name sortKey="Yoon, Sunmoo" sort="Yoon, Sunmoo" uniqKey="Yoon S" first="Sunmoo" last="Yoon">Sunmoo Yoon</name>
<affiliation><nlm:affiliation>Columbia University Medical Center.</nlm:affiliation>
<wicri:noCountry code="no comma">Columbia University Medical Center.</wicri:noCountry>
<wicri:noCountry code="no comma">Columbia University Medical Center.</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Odlum, Michelle" sort="Odlum, Michelle" uniqKey="Odlum M" first="Michelle" last="Odlum">Michelle Odlum</name>
<affiliation wicri:level="4"><nlm:affiliation>School of Nursing, Columbia University.</nlm:affiliation>
<country>États-Unis</country>
<placeName><settlement type="city">New York</settlement>
<region type="state">État de New York</region>
</placeName>
<orgName type="university">Université Columbia</orgName>
</affiliation>
</author>
<author><name sortKey="Broadwell, Peter" sort="Broadwell, Peter" uniqKey="Broadwell P" first="Peter" last="Broadwell">Peter Broadwell</name>
<affiliation wicri:level="4"><nlm:affiliation>Stanford University.</nlm:affiliation>
<country>États-Unis</country>
<placeName><settlement type="city">Stanford (Californie)</settlement>
<region type="state">Californie</region>
</placeName>
<orgName type="university">Université Stanford</orgName>
</affiliation>
</author>
<author><name sortKey="Davis, Nicole" sort="Davis, Nicole" uniqKey="Davis N" first="Nicole" last="Davis">Nicole Davis</name>
<affiliation><nlm:affiliation>School of Nursing, Clemson University.</nlm:affiliation>
<wicri:noCountry code="subField">Clemson University</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Cho, Hwayoug" sort="Cho, Hwayoug" uniqKey="Cho H" first="Hwayoug" last="Cho">Hwayoug Cho</name>
<affiliation><nlm:affiliation>College of Nursing, University of Florida.</nlm:affiliation>
<wicri:noCountry code="subField">University of Florida</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Deng, Nanyi" sort="Deng, Nanyi" uniqKey="Deng N" first="Nanyi" last="Deng">Nanyi Deng</name>
<affiliation wicri:level="4"><nlm:affiliation>School of Professional Studies, Columbia University.</nlm:affiliation>
<country>États-Unis</country>
<placeName><settlement type="city">New York</settlement>
<region type="state">État de New York</region>
</placeName>
<orgName type="university">Université Columbia</orgName>
</affiliation>
</author>
<author><name sortKey="Patrao, Maria" sort="Patrao, Maria" uniqKey="Patrao M" first="Maria" last="Patrao">Maria Patrao</name>
<affiliation><nlm:affiliation>New York Presbyterian Hospital.</nlm:affiliation>
<wicri:noCountry code="no comma">New York Presbyterian Hospital.</wicri:noCountry>
<wicri:noCountry code="no comma">New York Presbyterian Hospital.</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Schauer, Deborah" sort="Schauer, Deborah" uniqKey="Schauer D" first="Deborah" last="Schauer">Deborah Schauer</name>
</author>
<author><name sortKey="Bales, Michael E" sort="Bales, Michael E" uniqKey="Bales M" first="Michael E" last="Bales">Michael E. Bales</name>
<affiliation><nlm:affiliation>Weill Cornell Medicine.</nlm:affiliation>
<wicri:noCountry code="no comma">Weill Cornell Medicine.</wicri:noCountry>
<wicri:noCountry code="no comma">Weill Cornell Medicine.</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Alcantara, Carmela" sort="Alcantara, Carmela" uniqKey="Alcantara C" first="Carmela" last="Alcantara">Carmela Alcantara</name>
<affiliation wicri:level="4"><nlm:affiliation>School of Social Work, Columbia University, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Social Work, Columbia University</wicri:regionArea>
<placeName><settlement type="city">New York</settlement>
<region type="state">État de New York</region>
</placeName>
<orgName type="university">Université Columbia</orgName>
</affiliation>
</author>
</analytic>
<series><title level="j">Studies in health technology and informatics</title>
<idno type="eISSN">1879-8365</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Analgesics, Opioid (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>COVID-19 (MeSH)</term>
<term>Cannabis (MeSH)</term>
<term>Coronavirus Infections (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Social Media (MeSH)</term>
<term>Social Networking (MeSH)</term>
<term>Substance-Related Disorders (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Analgésiques morphiniques (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Cannabis (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (MeSH)</term>
<term>Médias sociaux (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (MeSH)</term>
<term>Réseautage social (MeSH)</term>
<term>Troubles liés à une substance (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" xml:lang="en"><term>Analgesics, Opioid</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Betacoronavirus</term>
<term>COVID-19</term>
<term>Cannabis</term>
<term>Coronavirus Infections</term>
<term>Humans</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
<term>SARS-CoV-2</term>
<term>Social Media</term>
<term>Social Networking</term>
<term>Substance-Related Disorders</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Analgésiques morphiniques</term>
<term>Betacoronavirus</term>
<term>Cannabis</term>
<term>Humains</term>
<term>Infections à coronavirus</term>
<term>Médias sociaux</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
<term>Réseautage social</term>
<term>Troubles liés à une substance</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 (n= 2,558,474 Tweets). We randomly extracted 16,154 Tweets mentioning cannabis and 4,670 Tweets mentioning opioids from the COVID-19 Tweet corpora for our analysis. The cannabis related Tweets created by 6,144 users were disseminated to 280,042,783 users and retweeted 11 times the number of original messages while opioid-related Tweets created by 3,412 users were disseminated to smaller number of users. The opioids Twitter network showed more cohesive online group activities and a cleaner online environment with less disinformation. The cannabis Twitter network showed a less desirable online environment with more disinformation (false information to mislead the public) and stakeholders lacking strong science knowledge. Application of SNA to Tweets provides insights for future online-based drug abuse research during the outbreak.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32604586</PMID>
<DateCompleted><Year>2020</Year>
<Month>07</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>12</Month>
<Day>26</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1879-8365</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>272</Volume>
<PubDate><Year>2020</Year>
<Month>Jun</Month>
<Day>26</Day>
</PubDate>
</JournalIssue>
<Title>Studies in health technology and informatics</Title>
<ISOAbbreviation>Stud Health Technol Inform</ISOAbbreviation>
</Journal>
<ArticleTitle>Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.</ArticleTitle>
<Pagination><MedlinePgn>5-8</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.3233/SHTI200479</ELocationID>
<Abstract><AbstractText>We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 (n= 2,558,474 Tweets). We randomly extracted 16,154 Tweets mentioning cannabis and 4,670 Tweets mentioning opioids from the COVID-19 Tweet corpora for our analysis. The cannabis related Tweets created by 6,144 users were disseminated to 280,042,783 users and retweeted 11 times the number of original messages while opioid-related Tweets created by 3,412 users were disseminated to smaller number of users. The opioids Twitter network showed more cohesive online group activities and a cleaner online environment with less disinformation. The cannabis Twitter network showed a less desirable online environment with more disinformation (false information to mislead the public) and stakeholders lacking strong science knowledge. Application of SNA to Tweets provides insights for future online-based drug abuse research during the outbreak.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yoon</LastName>
<ForeName>Sunmoo</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Columbia University Medical Center.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Odlum</LastName>
<ForeName>Michelle</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>School of Nursing, Columbia University.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Broadwell</LastName>
<ForeName>Peter</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Stanford University.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Davis</LastName>
<ForeName>Nicole</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>School of Nursing, Clemson University.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cho</LastName>
<ForeName>Hwayoug</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>College of Nursing, University of Florida.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Deng</LastName>
<ForeName>Nanyi</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>School of Professional Studies, Columbia University.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Patrao</LastName>
<ForeName>Maria</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>New York Presbyterian Hospital.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schauer</LastName>
<ForeName>Deborah</ForeName>
<Initials>D</Initials>
</Author>
<Author ValidYN="Y"><LastName>Bales</LastName>
<ForeName>Michael E</ForeName>
<Initials>ME</Initials>
<AffiliationInfo><Affiliation>Weill Cornell Medicine.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alcantara</LastName>
<ForeName>Carmela</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>School of Social Work, Columbia University, USA.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>R01 AG060929</GrantID>
<Acronym>AG</Acronym>
<Agency>NIA NIH HHS</Agency>
<Country>United States</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo><Country>Netherlands</Country>
<MedlineTA>Stud Health Technol Inform</MedlineTA>
<NlmUniqueID>9214582</NlmUniqueID>
<ISSNLinking>0926-9630</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000701">Analgesics, Opioid</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>T</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000701" MajorTopicYN="N">Analgesics, Opioid</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002188" MajorTopicYN="Y">Cannabis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="Y">Coronavirus Infections</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="Y">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="Y">Pneumonia, Viral</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D061108" MajorTopicYN="Y">Social Media</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D060756" MajorTopicYN="N">Social Networking</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019966" MajorTopicYN="Y">Substance-Related Disorders</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">cannabis</Keyword>
<Keyword MajorTopicYN="N">drug abuse</Keyword>
<Keyword MajorTopicYN="N">opioids</Keyword>
<Keyword MajorTopicYN="N">pandemic</Keyword>
<Keyword MajorTopicYN="N">social media</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>7</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>7</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>7</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32604586</ArticleId>
<ArticleId IdType="pii">SHTI200479</ArticleId>
<ArticleId IdType="doi">10.3233/SHTI200479</ArticleId>
<ArticleId IdType="pmc">PMC7337407</ArticleId>
<ArticleId IdType="mid">NIHMS1596425</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>NI 2012 (2012). 2012 Jun 23;2012:463</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24199142</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Californie</li>
<li>État de New York</li>
</region>
<settlement><li>New York</li>
<li>Stanford (Californie)</li>
</settlement>
<orgName><li>Université Columbia</li>
<li>Université Stanford</li>
</orgName>
</list>
<tree><noCountry><name sortKey="Bales, Michael E" sort="Bales, Michael E" uniqKey="Bales M" first="Michael E" last="Bales">Michael E. Bales</name>
<name sortKey="Cho, Hwayoug" sort="Cho, Hwayoug" uniqKey="Cho H" first="Hwayoug" last="Cho">Hwayoug Cho</name>
<name sortKey="Davis, Nicole" sort="Davis, Nicole" uniqKey="Davis N" first="Nicole" last="Davis">Nicole Davis</name>
<name sortKey="Patrao, Maria" sort="Patrao, Maria" uniqKey="Patrao M" first="Maria" last="Patrao">Maria Patrao</name>
<name sortKey="Schauer, Deborah" sort="Schauer, Deborah" uniqKey="Schauer D" first="Deborah" last="Schauer">Deborah Schauer</name>
<name sortKey="Yoon, Sunmoo" sort="Yoon, Sunmoo" uniqKey="Yoon S" first="Sunmoo" last="Yoon">Sunmoo Yoon</name>
</noCountry>
<country name="États-Unis"><region name="État de New York"><name sortKey="Odlum, Michelle" sort="Odlum, Michelle" uniqKey="Odlum M" first="Michelle" last="Odlum">Michelle Odlum</name>
</region>
<name sortKey="Alcantara, Carmela" sort="Alcantara, Carmela" uniqKey="Alcantara C" first="Carmela" last="Alcantara">Carmela Alcantara</name>
<name sortKey="Broadwell, Peter" sort="Broadwell, Peter" uniqKey="Broadwell P" first="Peter" last="Broadwell">Peter Broadwell</name>
<name sortKey="Deng, Nanyi" sort="Deng, Nanyi" uniqKey="Deng N" first="Nanyi" last="Deng">Nanyi Deng</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidStanfordV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000797 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000797 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidStanfordV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32604586
   |texte=   Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32604586" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidStanfordV1

This area was generated with Dilib version V0.6.38.
Data generation: Tue Feb 2 21:24:25 2021. Site generation: Tue Feb 2 21:26:08 2021

	Serveur d'exploration sur le Covid à Stanford
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur le Covid à Stanford

Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.

Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki