Investigating mental representations of psychoactive substance use and other potentially addictive behaviors using a data driven network-based clustering method.

Saved in:
Bibliographic Details
Title: Investigating mental representations of psychoactive substance use and other potentially addictive behaviors using a data driven network-based clustering method.
Authors: File D; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary., File B; Wigner Research Centre for Physics, Budapest, Hungary., Bőthe B; Département de Psychologie, Université de Montréal, Montreal, Canada., Griffiths MD; Psychology Department, International Gaming Research Unit, Nottingham Trent University, Nottingham, United Kingdom., Demetrovics Z; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.; Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar.
Source: PloS one [PLoS One] 2023 Oct 19; Vol. 18 (10), pp. e0287564. Date of Electronic Publication: 2023 Oct 19 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 37856517
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Investigating mental representations of psychoactive substance use and other potentially addictive behaviors using a data driven network-based clustering method.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22File+D%22">File D</searchLink>; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22File+B%22">File B</searchLink>; Wigner Research Centre for Physics, Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Bőthe+B%22">Bőthe B</searchLink>; Département de Psychologie, Université de Montréal, Montreal, Canada.<br /><searchLink fieldCode="AU" term="%22Griffiths+MD%22">Griffiths MD</searchLink>; Psychology Department, International Gaming Research Unit, Nottingham Trent University, Nottingham, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Demetrovics+Z%22">Demetrovics Z</searchLink>; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.; Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2023 Oct 19; Vol. 18 (10), pp. e0287564. <i>Date of Electronic Publication: </i>2023 Oct 19 (<i>Print Publication: </i>2023).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37856517
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0287564
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0287564
    Titles:
      – TitleFull: Investigating mental representations of psychoactive substance use and other potentially addictive behaviors using a data driven network-based clustering method.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: File D
      – PersonEntity:
          Name:
            NameFull: File B
      – PersonEntity:
          Name:
            NameFull: Bőthe B
      – PersonEntity:
          Name:
            NameFull: Griffiths MD
      – PersonEntity:
          Name:
            NameFull: Demetrovics Z
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 19
              M: 10
              Text: 2023 Oct 19
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1932-6203
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: PloS one
              Type: main
ResultId 1