View in EDS HTML Full Text PDF Full Text

Quantifying the impact of great coaches on Olympic medal predictions: A CPD-D3 model analysis.

Saved in:
Bibliographic Details
Title: Quantifying the impact of great coaches on Olympic medal predictions: A CPD-D3 model analysis.
Authors: Liu Y; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China., Chen K; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China., Huang W; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China., Tan Y; School of Computer Science and Engineering, Changsha University, Changsha, China., Zhou S; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China., Yang J; School of Computer Science and Engineering, Changsha University, Changsha, China., Luan X; School of Computer Science and Engineering, Changsha University, Changsha, China., Li C; Department of Computing and Mathematics, Walton Institute, South East Technological University, Waterford, Ireland., Deng C; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China., Xiao Y; School of Computer Science and Engineering, Changsha University, Changsha, China.
Source: PloS one [PLoS One] 2026 Mar 13; Vol. 21 (3), pp. e0334635. Date of Electronic Publication: 2026 Mar 13 (Print Publication: 2026).
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: 41824549
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantifying the impact of great coaches on Olympic medal predictions: A CPD-D3 model analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Chen+K%22">Chen K</searchLink>; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Huang+W%22">Huang W</searchLink>; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Tan+Y%22">Tan Y</searchLink>; School of Computer Science and Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Zhou+S%22">Zhou S</searchLink>; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Yang+J%22">Yang J</searchLink>; School of Computer Science and Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Luan+X%22">Luan X</searchLink>; School of Computer Science and Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Li+C%22">Li C</searchLink>; Department of Computing and Mathematics, Walton Institute, South East Technological University, Waterford, Ireland.<br /><searchLink fieldCode="AU" term="%22Deng+C%22">Deng C</searchLink>; School of Mechanical and Electrical Engineering, Changsha University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Xiao+Y%22">Xiao Y</searchLink>; School of Computer Science and Engineering, Changsha University, Changsha, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Mar 13; Vol. 21 (3), pp. e0334635. <i>Date of Electronic Publication: </i>2026 Mar 13 (<i>Print Publication: </i>2026).
– 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=41824549
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0334635
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0334635
    Titles:
      – TitleFull: Quantifying the impact of great coaches on Olympic medal predictions: A CPD-D3 model analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu Y
      – PersonEntity:
          Name:
            NameFull: Chen K
      – PersonEntity:
          Name:
            NameFull: Huang W
      – PersonEntity:
          Name:
            NameFull: Tan Y
      – PersonEntity:
          Name:
            NameFull: Zhou S
      – PersonEntity:
          Name:
            NameFull: Yang J
      – PersonEntity:
          Name:
            NameFull: Luan X
      – PersonEntity:
          Name:
            NameFull: Li C
      – PersonEntity:
          Name:
            NameFull: Deng C
      – PersonEntity:
          Name:
            NameFull: Xiao Y
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 13
              M: 03
              Text: 2026 Mar 13
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1932-6203
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: PloS one
              Type: main
ResultId 1