Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique
Background and Objective: Influenza is a global epidemic disease that always causes irreparable damage to individuals and countries' 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 inf...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Farname
2021-08-01
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| Series: | Iranian Journal of Medical Microbiology |
| Subjects: | |
| Online Access: | http://ijmm.ir/article-1-1289-en.html |
| _version_ | 1831712191706824704 |
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| author | Farshid Danesh Somayeh Ghavidel Maryam Emami |
| author_facet | Farshid Danesh Somayeh Ghavidel Maryam Emami |
| author_sort | Farshid Danesh |
| collection | DOAJ |
| description | Background and Objective: Influenza is a global epidemic disease that always causes irreparable damage to individuals and countries' 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 research's statistical population includes all the keywords of documents indexed with influenza's subject in the WOSCC in the last two decades. The number of keywords studied in this article is 26767. MeSH was used to determine the search strategy for document retrieval.
Results: The keywords "Avian Influenza" and "Influenza Vaccine" with a frequency of 1302 and 1264 were the most frequent keywords in the subject area of influenza. Findings related to the analysis of clusters by the hierarchical clustering method created 21 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. |
| first_indexed | 2024-12-20T23:17:17Z |
| format | Article |
| id | doaj.art-fc8ec3261171497fbbb7df9660fac37a |
| institution | Directory Open Access Journal |
| issn | 1735-8612 2345-4342 |
| language | English |
| last_indexed | 2024-12-20T23:17:17Z |
| publishDate | 2021-08-01 |
| publisher | Farname |
| record_format | Article |
| series | Iranian Journal of Medical Microbiology |
| spelling | doaj.art-fc8ec3261171497fbbb7df9660fac37a2022-12-21T19:23:36ZengFarnameIranian Journal of Medical Microbiology1735-86122345-43422021-08-01154400413Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis TechniqueFarshid Danesh0Somayeh Ghavidel1Maryam Emami2 Assistant Prof. of LIS, Department of Information Management, Regional Information Center for Science & Technology (RICeST), Shiraz, Iran Graduated of knowledge and Information Science, Shemiranat Public Libraries Office, Tehran, Iran Ph.D. in knowledge and Information Science, Department of knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran Background and Objective: Influenza is a global epidemic disease that always causes irreparable damage to individuals and countries' 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 research's statistical population includes all the keywords of documents indexed with influenza's subject in the WOSCC in the last two decades. The number of keywords studied in this article is 26767. MeSH was used to determine the search strategy for document retrieval. Results: The keywords "Avian Influenza" and "Influenza Vaccine" with a frequency of 1302 and 1264 were the most frequent keywords in the subject area of influenza. Findings related to the analysis of clusters by the hierarchical clustering method created 21 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.http://ijmm.ir/article-1-1289-en.htmlinfluenzainfluenza virusfluscientometricsco-word analysis |
| spellingShingle | Farshid Danesh Somayeh Ghavidel Maryam Emami Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique Iranian Journal of Medical Microbiology influenza influenza virus flu scientometrics co-word analysis |
| title | Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique |
| title_full | Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique |
| title_fullStr | Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique |
| title_full_unstemmed | Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique |
| title_short | Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique |
| title_sort | influenza global scholarly publications in the mirror of the co word analysis technique |
| topic | influenza influenza virus flu scientometrics co-word analysis |
| url | http://ijmm.ir/article-1-1289-en.html |
| work_keys_str_mv | AT farshiddanesh influenzaglobalscholarlypublicationsinthemirrorofthecowordanalysistechnique AT somayehghavidel influenzaglobalscholarlypublicationsinthemirrorofthecowordanalysistechnique AT maryamemami influenzaglobalscholarlypublicationsinthemirrorofthecowordanalysistechnique |