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A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation

Coronavirus COVID-19 shocking the whole world due to its highly contagious characteristics implicating not only public health, but also economy and social life. Since the effects are momentous, plenty of research have been conducted and still ongoing in order to study and to learn more about this...

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Main Author: Zamira Hasanah Zamzuri,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/17544/1/26.pdf
http://journalarticle.ukm.my/17544/
https://www.ukm.my/jsm/malay_journals/jilid50bil6_2021/KandunganJilid50Bil6_2021.html
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spelling my-ukm.journal.175442021-10-26T06:30:18Z http://journalarticle.ukm.my/17544/ A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation Zamira Hasanah Zamzuri, Coronavirus COVID-19 shocking the whole world due to its highly contagious characteristics implicating not only public health, but also economy and social life. Since the effects are momentous, plenty of research have been conducted and still ongoing in order to study and to learn more about this virus and how it changing our daily life. In this paper, we explore 134 articles published in 2020 related to COVID-19 and narrowing the scope of study to Malaysia. An alternative route was taken by employing Latent Dirichlet Allocation (LDA) to identify underlying themes or topics in these publications. Two separate analyses were conducted, one is to the paper’s titles and another one to the journal’s names. The findings identified three topics for paper’s titles data are clinical study, impact of COVID-19 on various fields and Movement Control Order (MCO). The last topic shows the locality criterion in the studied papers as the term MCO was only used in Malaysia. For the journal’s names, three topics identified were medical study, public health also business and education. Two papers with the most number of citations are both in social sciences. Investigating the properties of these topics, we found that papers on clinical studies are the ones with more chance to be cited and published by reputable publishers. These findings may help researchers on planning and strategizing for future research on COVID-19 specifying on Malaysia cases. Penerbit Universiti Kebangsaan Malaysia 2021-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17544/1/26.pdf Zamira Hasanah Zamzuri, (2021) A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation. Sains Malaysiana, 50 (6). pp. 1815-1825. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil6_2021/KandunganJilid50Bil6_2021.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Coronavirus COVID-19 shocking the whole world due to its highly contagious characteristics implicating not only public health, but also economy and social life. Since the effects are momentous, plenty of research have been conducted and still ongoing in order to study and to learn more about this virus and how it changing our daily life. In this paper, we explore 134 articles published in 2020 related to COVID-19 and narrowing the scope of study to Malaysia. An alternative route was taken by employing Latent Dirichlet Allocation (LDA) to identify underlying themes or topics in these publications. Two separate analyses were conducted, one is to the paper’s titles and another one to the journal’s names. The findings identified three topics for paper’s titles data are clinical study, impact of COVID-19 on various fields and Movement Control Order (MCO). The last topic shows the locality criterion in the studied papers as the term MCO was only used in Malaysia. For the journal’s names, three topics identified were medical study, public health also business and education. Two papers with the most number of citations are both in social sciences. Investigating the properties of these topics, we found that papers on clinical studies are the ones with more chance to be cited and published by reputable publishers. These findings may help researchers on planning and strategizing for future research on COVID-19 specifying on Malaysia cases.
format Article
author Zamira Hasanah Zamzuri,
spellingShingle Zamira Hasanah Zamzuri,
A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation
author_facet Zamira Hasanah Zamzuri,
author_sort Zamira Hasanah Zamzuri,
title A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation
title_short A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation
title_full A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation
title_fullStr A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation
title_full_unstemmed A bibliometric analysis of COVID-19 research in Malaysia using Latent Dirichlet Allocation
title_sort bibliometric analysis of covid-19 research in malaysia using latent dirichlet allocation
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/17544/1/26.pdf
http://journalarticle.ukm.my/17544/
https://www.ukm.my/jsm/malay_journals/jilid50bil6_2021/KandunganJilid50Bil6_2021.html
_version_ 1717094734661419008
score 13.211869

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