Visualizing the Clusters and Dynamics of HPV Research Area
Background and Aims: Co-word analysis, based on Co-occurrence, as one of the important techniques of Scientometrics and bibliometrics, enables the analysis of the content of scientific documents of the specific Research Area. The purpose of the present study is visualize HPV clusters relationships a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Farname
2019-12-01
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| Series: | Iranian Journal of Medical Microbiology |
| Subjects: | |
| Online Access: | http://ijmm.ir/article-1-997-en.html |
| _version_ | 1819009456991633408 |
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| author | Farshid Danesh Somayeh Ghavidel |
| author_facet | Farshid Danesh Somayeh Ghavidel |
| author_sort | Farshid Danesh |
| collection | DOAJ |
| description | Background and Aims: Co-word analysis, based on Co-occurrence, as one of the important techniques of Scientometrics and bibliometrics, enables the analysis of the content of scientific documents of the specific Research Area. The purpose of the present study is visualize HPV clusters relationships and thematic trends in the world.
Materials and Methods: The research type is an applied one with analytical approach and it has been done using co-word analysis. The population of this study consists of articles’ keywords indexed during 2014-2018 in the Web of Science (WoS) in HPV subject area. The total numbers of the retrieved and analyzed keywords in this study were 13249. Some software like SPSS, UCINET and VOSViewer were used for data integration and analysis.
Results: The findings showed that the keyword “CERVICAL CANCER” have had the highest frequency and with “CERVICAL INTRAEPITHELIAL NEOPLASIA” and they were co-word couples. The results of the strategic diagram showed that the most clusters in HPV placed in third area of strategic diagram, it means these subjects (clusters) were emerging or declining.
Conclusion: Co-word analysis is suitable method for discover and visualize different sciences and their prominent patterns, hidden relationships and thematic trends research’ subject areas. The results of these analysis and findings of such researches will help research policy makers |
| first_indexed | 2024-12-21T00:56:40Z |
| format | Article |
| id | doaj.art-ed5fe0dfdd14463b9204691329981e41 |
| institution | Directory Open Access Journal |
| issn | 1735-8612 2345-4342 |
| language | English |
| last_indexed | 2024-12-21T00:56:40Z |
| publishDate | 2019-12-01 |
| publisher | Farname |
| record_format | Article |
| series | Iranian Journal of Medical Microbiology |
| spelling | doaj.art-ed5fe0dfdd14463b9204691329981e412022-12-21T19:21:17ZengFarnameIranian Journal of Medical Microbiology1735-86122345-43422019-12-01134266278Visualizing the Clusters and Dynamics of HPV Research AreaFarshid Danesh0Somayeh Ghavidel1 Assistant Professor, Information Management Research Group, Regional Information Center for Science and Technology (RICeST), Shiraz, Iran Ph.D. Student of knowledge and Information Science, Department of knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran Background and Aims: Co-word analysis, based on Co-occurrence, as one of the important techniques of Scientometrics and bibliometrics, enables the analysis of the content of scientific documents of the specific Research Area. The purpose of the present study is visualize HPV clusters relationships and thematic trends in the world. Materials and Methods: The research type is an applied one with analytical approach and it has been done using co-word analysis. The population of this study consists of articles’ keywords indexed during 2014-2018 in the Web of Science (WoS) in HPV subject area. The total numbers of the retrieved and analyzed keywords in this study were 13249. Some software like SPSS, UCINET and VOSViewer were used for data integration and analysis. Results: The findings showed that the keyword “CERVICAL CANCER” have had the highest frequency and with “CERVICAL INTRAEPITHELIAL NEOPLASIA” and they were co-word couples. The results of the strategic diagram showed that the most clusters in HPV placed in third area of strategic diagram, it means these subjects (clusters) were emerging or declining. Conclusion: Co-word analysis is suitable method for discover and visualize different sciences and their prominent patterns, hidden relationships and thematic trends research’ subject areas. The results of these analysis and findings of such researches will help research policy makershttp://ijmm.ir/article-1-997-en.htmlhuman papilloma viruspapillomavirusco-occurrenceco-word analysisstrategic diagramucinetvosviewerhpvbibliometricsscientometricsknowledge structurevisualizing |
| spellingShingle | Farshid Danesh Somayeh Ghavidel Visualizing the Clusters and Dynamics of HPV Research Area Iranian Journal of Medical Microbiology human papilloma virus papillomavirus co-occurrence co-word analysis strategic diagram ucinet vosviewer hpv bibliometrics scientometrics knowledge structure visualizing |
| title | Visualizing the Clusters and Dynamics of HPV Research Area |
| title_full | Visualizing the Clusters and Dynamics of HPV Research Area |
| title_fullStr | Visualizing the Clusters and Dynamics of HPV Research Area |
| title_full_unstemmed | Visualizing the Clusters and Dynamics of HPV Research Area |
| title_short | Visualizing the Clusters and Dynamics of HPV Research Area |
| title_sort | visualizing the clusters and dynamics of hpv research area |
| topic | human papilloma virus papillomavirus co-occurrence co-word analysis strategic diagram ucinet vosviewer hpv bibliometrics scientometrics knowledge structure visualizing |
| url | http://ijmm.ir/article-1-997-en.html |
| work_keys_str_mv | AT farshiddanesh visualizingtheclustersanddynamicsofhpvresearcharea AT somayehghavidel visualizingtheclustersanddynamicsofhpvresearcharea |