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Volume 6, Issue 2 (Summer 2020)                   JMIS 2020, 6(2): 11-21 | Back to browse issues page

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daniali S, Riyahi Nia N, Ghavidel S. Drawing word co-occurrence map of spinal muscular atrophy disease. JMIS. 2020; 6 (2) :11-21
URL: http://jmis.hums.ac.ir/article-1-230-en.html
Department of Knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
Abstract:   (1063 Views)
Aim: The purpose of this article is to evaluate the status of the articles in the field of Spinal Muscular Atrophy based on scientometric indices and to draw a co-occurrence map of words in this field.
Methods: This quantitative descriptive study has been done by using scientometrics and the co-occurrence words analysis techniques. Documentary or library studies have been used to get acquainted with the history of the subject and the theoretical foundations of the research. In this study, 4137 scientific products in the field of spinal muscular atrophy diseasewere studied in the Web of Science database (1946-2018). VSO Viewer and Excel software were used to analyze and draw the co-occurrence map of words.
Results: In the field of Spinal Muscular Atrophy, ten clusters were formed.Cluster number one with 38 members is the largest cluster in this field. The most focused texts in the field of Spinal Muscular Atrophy are Survival Motor Neuron (SMN), Amyotrophic Lateral Sclerosis (ALS), Motor Neuron Disease (MND), Motor Neurons (MNS) and SMN1, respectively. Also, the small number of subjects of Lower Motor Neuron Disease, Gene Expression, Exonic Splicing Enhancer in the coherent map shows the lack of scientific articles in these fields.
Conclusion: conducting such a study in the field of Spinal Muscular Atrophy can play an essential role in future policies of this field and properly highlight research gaps and hot topics.
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Type of Study: Research | Subject: Special
Received: 2020/05/13 | Accepted: 2020/08/31 | Published: 2020/09/20

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