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Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study

The escalated burden of diabetes on the population’s health has catalyzed rigorous scientific research to produce appropriate evidence for treatment and control. Malaysia suffers from the leading diabetes epidemic within the Western Pacific region. It is crucial to map the scientific landscape of di...

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Autores principales: Ganasegeran, Kurubaran, Hor, Chee Peng, Jamil, Mohd Fadzly Amar, Suppiah, Purnima Devi, Noor, Juliana Mohd, Hamid, Norshahida Abdul, Chuan, Deik Roy, Manaf, Mohd Rizal Abdul, Ch’ng, Alan Swee Hock, Looi, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796049/
https://www.ncbi.nlm.nih.gov/pubmed/33406730
http://dx.doi.org/10.3390/ijerph18010318
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author Ganasegeran, Kurubaran
Hor, Chee Peng
Jamil, Mohd Fadzly Amar
Suppiah, Purnima Devi
Noor, Juliana Mohd
Hamid, Norshahida Abdul
Chuan, Deik Roy
Manaf, Mohd Rizal Abdul
Ch’ng, Alan Swee Hock
Looi, Irene
author_facet Ganasegeran, Kurubaran
Hor, Chee Peng
Jamil, Mohd Fadzly Amar
Suppiah, Purnima Devi
Noor, Juliana Mohd
Hamid, Norshahida Abdul
Chuan, Deik Roy
Manaf, Mohd Rizal Abdul
Ch’ng, Alan Swee Hock
Looi, Irene
author_sort Ganasegeran, Kurubaran
collection PubMed
description The escalated burden of diabetes on the population’s health has catalyzed rigorous scientific research to produce appropriate evidence for treatment and control. Malaysia suffers from the leading diabetes epidemic within the Western Pacific region. It is crucial to map the scientific landscape of diabetes research for the country to identify trends in productivity and determine whether research efforts are directed toward the needs-gaps priority for evidence synthesis that could be used for the drafting of policies and guidelines. This systematic scientometrics study was conducted to map the scientific research output (trends and distribution, citation frequency, keywords link visualization, and thematic cluster conceptualization) related to diabetes between 2000–2018 in Malaysia. Using three international databases (PubMed, EMBASE, Scopus) and one local database (MyCite), scientific publication records related to diabetes in Malaysia between 2000 and 2018 were retrieved and analyzed using quantitative and qualitative methodologies. Microsoft Excel 2016, EndNote X9.2, BibExcel 2016, GraphPad Prism 8.0.1, VOS viewer software 1.6.13, and R software version 1.3.959 were used to analyze the trend and contents of diabetes publications. A total of 2094 publication records that accounted for 35,497 citations were analyzed. Kuala Lumpur was the most scientifically productive state in Malaysia, contributing 754 papers. Medical Journal of Malaysia had the highest number of publications. The inflection point of the Malaysian diabetes research output was in 2013, with most publications being non-collaborative research works. Most publications originated from academia, especially from local public universities. The overall publication productivity of diabetes research in Malaysia was conceptualized into eleven thematic clusters, with clinical and animal studies being the most prevalent themes. The diabetes literature in Malaysia has grown steadily over the past 19 years. However, the cumulative evidence remains inadequate and is insufficiently powered to guide policymaking and the control of diabetes. It does not yet seem feasible to direct the diabetes epidemic curve to a plateau for the Malaysian population based on Malaysian diabetes publications.
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spelling pubmed-77960492021-01-10 Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study Ganasegeran, Kurubaran Hor, Chee Peng Jamil, Mohd Fadzly Amar Suppiah, Purnima Devi Noor, Juliana Mohd Hamid, Norshahida Abdul Chuan, Deik Roy Manaf, Mohd Rizal Abdul Ch’ng, Alan Swee Hock Looi, Irene Int J Environ Res Public Health Article The escalated burden of diabetes on the population’s health has catalyzed rigorous scientific research to produce appropriate evidence for treatment and control. Malaysia suffers from the leading diabetes epidemic within the Western Pacific region. It is crucial to map the scientific landscape of diabetes research for the country to identify trends in productivity and determine whether research efforts are directed toward the needs-gaps priority for evidence synthesis that could be used for the drafting of policies and guidelines. This systematic scientometrics study was conducted to map the scientific research output (trends and distribution, citation frequency, keywords link visualization, and thematic cluster conceptualization) related to diabetes between 2000–2018 in Malaysia. Using three international databases (PubMed, EMBASE, Scopus) and one local database (MyCite), scientific publication records related to diabetes in Malaysia between 2000 and 2018 were retrieved and analyzed using quantitative and qualitative methodologies. Microsoft Excel 2016, EndNote X9.2, BibExcel 2016, GraphPad Prism 8.0.1, VOS viewer software 1.6.13, and R software version 1.3.959 were used to analyze the trend and contents of diabetes publications. A total of 2094 publication records that accounted for 35,497 citations were analyzed. Kuala Lumpur was the most scientifically productive state in Malaysia, contributing 754 papers. Medical Journal of Malaysia had the highest number of publications. The inflection point of the Malaysian diabetes research output was in 2013, with most publications being non-collaborative research works. Most publications originated from academia, especially from local public universities. The overall publication productivity of diabetes research in Malaysia was conceptualized into eleven thematic clusters, with clinical and animal studies being the most prevalent themes. The diabetes literature in Malaysia has grown steadily over the past 19 years. However, the cumulative evidence remains inadequate and is insufficiently powered to guide policymaking and the control of diabetes. It does not yet seem feasible to direct the diabetes epidemic curve to a plateau for the Malaysian population based on Malaysian diabetes publications. MDPI 2021-01-04 2021-01 /pmc/articles/PMC7796049/ /pubmed/33406730 http://dx.doi.org/10.3390/ijerph18010318 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ganasegeran, Kurubaran
Hor, Chee Peng
Jamil, Mohd Fadzly Amar
Suppiah, Purnima Devi
Noor, Juliana Mohd
Hamid, Norshahida Abdul
Chuan, Deik Roy
Manaf, Mohd Rizal Abdul
Ch’ng, Alan Swee Hock
Looi, Irene
Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study
title Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study
title_full Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study
title_fullStr Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study
title_full_unstemmed Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study
title_short Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study
title_sort mapping the scientific landscape of diabetes research in malaysia (2000–2018): a systematic scientometrics study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796049/
https://www.ncbi.nlm.nih.gov/pubmed/33406730
http://dx.doi.org/10.3390/ijerph18010318
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