Alzheimer's disease research: a network science approach

Detalhes bibliográficos
Autor(a) principal: Pestana, M. H.
Data de Publicação: 2018
Outros Autores: Sobral, M. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/16109
Resumo: A limit number of studies have applied bibliometric visualisation to explore the network structure of Alzheimer’s Disease (AD). This paper uses CiteSpace, Carrot and VOSviewer to analyse and visualise the intellectual structure of AD, characterizing, quantitatively and qualitatively, the global scientific outputs, and identifying their trends. The 9,753 articles obtained from the science citation index expanded database (SCI-E), from Web-of-Science, were analysed. The publication data is analysed computationally to identify publication patterns, a rate of growth of publications, types of authorship collaboration, the most productive authors, countries, institutions, journals, keywords, the citation and keyword patterns, the hotspots and the areas of research on the AD. The paper presents a detailed analytical mapping of AD research and charts the progress of discipline with various useful parameters. The authors expect to contribute to the theory, supplying researchers with new tools and enabling practitioners to improve their knowledge about the AD evolution and trends.
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spelling Alzheimer's disease research: a network science approachBibliometric analysisScientific outputsAlzheimerkeywords analysisCollaboration networkResearch trendA limit number of studies have applied bibliometric visualisation to explore the network structure of Alzheimer’s Disease (AD). This paper uses CiteSpace, Carrot and VOSviewer to analyse and visualise the intellectual structure of AD, characterizing, quantitatively and qualitatively, the global scientific outputs, and identifying their trends. The 9,753 articles obtained from the science citation index expanded database (SCI-E), from Web-of-Science, were analysed. The publication data is analysed computationally to identify publication patterns, a rate of growth of publications, types of authorship collaboration, the most productive authors, countries, institutions, journals, keywords, the citation and keyword patterns, the hotspots and the areas of research on the AD. The paper presents a detailed analytical mapping of AD research and charts the progress of discipline with various useful parameters. The authors expect to contribute to the theory, supplying researchers with new tools and enabling practitioners to improve their knowledge about the AD evolution and trends.Inderscience2018-06-12T09:03:13Z2019-06-12T00:00:00Z2018-01-01T00:00:00Z20182018-06-12T09:59:43Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/16109eng2396-831110.1504/IJMDA.2018.091838Pestana, M. H.Sobral, M. R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:32:46Zoai:repositorio.iscte-iul.pt:10071/16109Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:14:43.352306Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Alzheimer's disease research: a network science approach
title Alzheimer's disease research: a network science approach
spellingShingle Alzheimer's disease research: a network science approach
Pestana, M. H.
Bibliometric analysis
Scientific outputs
Alzheimer
keywords analysis
Collaboration network
Research trend
title_short Alzheimer's disease research: a network science approach
title_full Alzheimer's disease research: a network science approach
title_fullStr Alzheimer's disease research: a network science approach
title_full_unstemmed Alzheimer's disease research: a network science approach
title_sort Alzheimer's disease research: a network science approach
author Pestana, M. H.
author_facet Pestana, M. H.
Sobral, M. R.
author_role author
author2 Sobral, M. R.
author2_role author
dc.contributor.author.fl_str_mv Pestana, M. H.
Sobral, M. R.
dc.subject.por.fl_str_mv Bibliometric analysis
Scientific outputs
Alzheimer
keywords analysis
Collaboration network
Research trend
topic Bibliometric analysis
Scientific outputs
Alzheimer
keywords analysis
Collaboration network
Research trend
description A limit number of studies have applied bibliometric visualisation to explore the network structure of Alzheimer’s Disease (AD). This paper uses CiteSpace, Carrot and VOSviewer to analyse and visualise the intellectual structure of AD, characterizing, quantitatively and qualitatively, the global scientific outputs, and identifying their trends. The 9,753 articles obtained from the science citation index expanded database (SCI-E), from Web-of-Science, were analysed. The publication data is analysed computationally to identify publication patterns, a rate of growth of publications, types of authorship collaboration, the most productive authors, countries, institutions, journals, keywords, the citation and keyword patterns, the hotspots and the areas of research on the AD. The paper presents a detailed analytical mapping of AD research and charts the progress of discipline with various useful parameters. The authors expect to contribute to the theory, supplying researchers with new tools and enabling practitioners to improve their knowledge about the AD evolution and trends.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-12T09:03:13Z
2018-01-01T00:00:00Z
2018
2018-06-12T09:59:43Z
2019-06-12T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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url http://hdl.handle.net/10071/16109
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2396-8311
10.1504/IJMDA.2018.091838
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Inderscience
publisher.none.fl_str_mv Inderscience
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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