Title: Alzheimer's disease research: a network science approach
Authors: Maria Helena Pestana; Margarida Rolland Sobral
University Institute of Lisbon (ISCTE-IUL), Lisbon, Portugal; Research and Education Unit on Ageing (UNIFAI, ICBAS, UP)
Psychogeriatrics Service, Hospital Magalhães Lemos, Porto, Portugal; Research and Education Unit on Ageing (UNIFAI, ICBAS, UP); CINTESIS – Centre for Health Technology and Services Research (FM, UP), Portugal
Abstract: 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, characterising, 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.
Keywords: bibliometric analysis; scientific outputs; Alzheimer; keywords analysis; collaboration network; research trend.
Int. J. of Multivariate Data Analysis, 2018 Vol.1, No.3, pp.201 - 217
Submission date: 09 Dec 2017
Date of acceptance: 14 Dec 2017
Available online: 08 May 2018