Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique
Publish place: Iranian Journal of Medical Microbiology، Vol: 15، Issue: 4
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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JR_IJMM-15-4_004
تاریخ نمایه سازی: 17 مهر 1400
Abstract:
Background and Objective: Influenza is a global epidemic disease that always causes irreparable damage to individuals and countrieschr('۳۹') health, and the amount of research in this area is increasing. The primary purpose this study is to discover the hidden patterns and emerging events of global influenza publications.
Materials and Methods: This article is an applied type was done with an analytical approach and using the Co-word analysis method. This researchchr('۳۹')s statistical population includes all the keywords of documents indexed with influenzachr('۳۹')s subject in the WOSCC in the last two decades. The number of keywords studied in this article is ۲۶۷۶۷. MeSH was used to determine the search strategy for document retrieval.
Results: The keywords "Avian Influenza" and "Influenza Vaccine" with a frequency of ۱۳۰۲ and ۱۲۶۴ were the most frequent keywords in the subject area of influenza. Findings related to the analysis of clusters by the hierarchical clustering method created ۲۱ clusters in the field of influenza. Seventeen clusters with the most keywords were the largest cluster. The strategic diagram indicated that most influenza subject area clusters are located in the third quadrant of the strategic diagram and are considered emerging or declining subjects.
Conclusion: Discovering the intellectual structure, presenting hidden patterns and emerging events of global publications in the field of influenza infections can help governments, communities, and research centers in understanding research advances, optimizing and managing future research topics, and effectively monitoring and policy-making activities-new research and allocation of facilities and budget.
Keywords:
Influenza , Influenza virus , flu , Scientometrics , Co-word analysis , آنفولانزا , ویروس آنفولانزا , فلو , علم سنجی , تحلیل هم واژگانی
Authors
Farshid Danesh
Assistant Prof. of LIS, Department of Information Management, Regional Information Center for Science & Technology (RICeST), Shiraz, Iran
Somayeh Ghavidel
Graduated of knowledge and Information Science, Shemiranat Public Libraries Office, Tehran, Iran
Maryam Emami
Ph.D. in knowledge and Information Science, Department of knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
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