year 13, Issue 4 (September - October 2019)                   Iran J Med Microbiol 2019, 13(4): 266-278 | Back to browse issues page

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Danesh F, Ghavidel S. Visualizing the Clusters and Dynamics of HPV Research Area. Iran J Med Microbiol 2019; 13 (4) :266-278
1- Assistant Professor, Information Management Research Group, Regional Information Center for Science and Technology (RICeST), Shiraz, Iran
2- Ph.D. Student of knowledge and Information Science, Department of knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran ,
Abstract:   (7289 Views)

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 AreaThe 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

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Type of Study: Original Research Article | Subject: Medical Virology
Received: 2019/11/25 | Accepted: 2020/01/19 | ePublished: 2020/01/19

1. Braaten KP, Laufer MR. Human Papillomavirus (HPV), HPV-Related Disease, and the HPV Vaccine. Reviews in obstetrics & gynaecology(Rev Obstet Gynecol), 2008; 1(1): 2-10.
2. Khodakarami N, Hosseini S, Yavari P, Farzaneh F, Etemad K, Salehpour S, et al. Human papillomavirus infection prevalence in women referred to health clinic of Shahid Beheshti University of Medical Sciences, Tehran, Iran.Iranian Journal of Epidemiology(IJE), 2012; 7(4):35-42. ]In Persian[
3. Mobini Kesheh, M., Keyvani, H. The Prevalence of HPV Genotypes in Iranian Population: An Update. Iranian Journal of Pathology (Iran J Pathol), 2019; 14(3): 197-205. [DOI:10.30699/IJP.2019.90356.1861] [PMID] [PMCID]
4. Fakhraei F, Haghshenas MR. Human Papillomaviruses and Cancer. Journal of Mazandaran University of Medical Sciences)J Mazandaran Univ Med Sci(. 2013; 22(98):340-60. ]In Persian[
5. Hu J, Zhang Y. Research patterns and trends of Recommendation System in China using co-word analysis. Information Processing & Management. 2015; 51(4):329-39. [DOI:10.1016/j.ipm.2015.02.002]
6. Emami M, Riahinia N, Soheili F. Mapping the Scientific Structure of Medical and Laboratory Equipment Patents in USPTO database between 1984 and 2014. Journal of Payavarde Salamat. 2019; 12(6):419-32. ]In Persian[
7. Hakim JA, Schram JB, Galloway A, Morrow CD, Crowley, MR, Watts SA, et al. The Purple Sea Urchin Strongylocentrotus purpuratus demonstrates a Compartmentalization of Gut Bacterial Microbiota, Predictive Functional Attributes, and Taxonomic Co-Occurrence. Microorganisms. 2019; 7(2):35. doi: 10.3390/microorganisms7020035 [DOI:10.3390/microorganisms7020035] [PMID] [PMCID]
8. Shen L, Wang S, Dai W, Zhang Z. Detecting the Interdisciplinary Nature and Topic Hotspots of Robotics in Surgery: Social Network Analysis and Bibliometric Study. Journal of Medical Internet Research(J Med Internet Res), 2019; 21(3):e12625. [DOI:10.2196/12625] [PMID] [PMCID]
9. Yang A, Lv Q, Chen F, Wang D, Liu Y, Shi W. Identification of Recent Trends in Research on Vitamin D: A Quantitative and Co-Word Analysis. Medical Science Monitor: International Medical Journal of Experimental and Clinical Research(Med Sci Monit), 2019; 25:643-55. [DOI:10.12659/MSM.913026] [PMID] [PMCID]
10. Moral-Munoz JA, Carballo-Costa L, Herrera-Viedma E, Cobo MJ. Production trends, collaboration, and main topics of the integrative and complementary oncology research area: a bibliometric analysis. Integrative Cancer Therapies(ICT), 2019; 18:1534735419846401. [DOI:10.1177/1534735419846401] [PMID] [PMCID]
11. Huang F, Zhou Q, Leng BJ, Mao QL, Zheng LM, Zuo MZ. A bibliometric and social network analysis of pelvic organ prolapse during 2007-2016. Journal of the Chinese Medical Association(JCMA), 2017; 81(5):450-7. [DOI:10.1016/j.jcma.2017.08.012] [PMID]
12. Zhang W, Wang YB, Zhang XZ, Duan HM. The study of hot spots on hepatitis b dissertation based on co-word analysis in China. Studies in health technology and informatics(HTI), 2017; 245:1293.
13. Tarazona B, Vidal-Infer A, Tarazona-Alvarez P, Alonso-Arroyo A. Analysis of scientific production in Spanish implantology. Journal of clinical and experimental dentistry(SECIB), 2017; 9(5):e703-e11. [DOI:10.4317/jced.53718] [PMID] [PMCID]
14. Xie P. Study of international anticancer research trends via co-word and document co-citation visualization analysis. Scientometrics. 2015; 105(1): 611-22. [DOI:10.1007/s11192-015-1689-0]
15. Yao Q, Lyu P, Ma F, Yao L, Zhang S. Global informetric perspective studies on translational medical research. BMC Medical Informatics and Decision Making. 2013; 13:77. [DOI:10.1186/1472-6947-13-77] [PMID] [PMCID]
16. Zhao F, Shi B, Liu R, Zhou W, Shi D, Zhang J. Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis. BMC Ophthalmology. 2018; 18:2-11. [DOI:10.1186/s12886-018-0752-z] [PMID] [PMCID]
17. Zhang T, Chi H, Ouyang Z. Detecting research focus and research fronts in the medical big data field using co-word and co-citation analysis. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/ SmartCity/ DSS), Exeter, United Kingdom, 2018: 313-320. [DOI:10.1109/HPCC/SmartCity/DSS.2018.00072]
18. Lu K, Yu S, Yu M, Sun D, Xing H, An J, et al. Scientometric Analysis of SIRT6 Studies. Medical science monitor: international medical journal of experimental and clinical research(IJCEM), 2018; 24:8357-71. [DOI:10.12659/MSM.913644] [PMID] [PMCID]
19. Lu K, Yu S, Yu M, Sun D, Huang Z, Xing H, et al. Bibliometric analysis of tumor immunotherapy studies. Medical science monitor: international medical journal of experimental and clinical research(IJCEM), 2018; 24:3405-14. [DOI:10.12659/MSM.910724] [PMID] [PMCID]
20. Liao CS, Ho YS, Hsu YHE. Bibliometric analysis of human papillomavirus research in period of 1991 to 2005. Paper presented in Taipei Medical University's 94th Annual Teacher and Student Joint Academic Research Conference. Taipei, Taiwan. 2006. Poster Presentation.
21. Yousefi A, Gilvari A, Shahmirzadi T. Quantitative and Qualitative Review of Web of Science ISI Articles by Iranian Authors in Microbiology. Iranian Journal of Medical Microbiology(Iran J Med Microbiol), 2012; 6(3):59-75.
22. Baji F, Azadeh F, Parsaei-Mohammadi P, Parmah S. Mapping Intellectual Structure of Health Literacy Area Based on Co-Word Analysis in Web of Science Database during the Years 1993-2017. Isfahan University of Medical Sciences, Journal of Health Information Management (Health Inf Manag), 2018; 15(3):139-45. [In Persian[
23. Khasseh A, Fakhar M, Soosaraei M, Sadeghi S. Evaluation of scientific performance of Iranian researchers in parasitology domain in ISI databases. Iranian Journal of Medical Microbiology(Iran J Med Microbiol), 2011; 4(4):41-50. ]In Persian[
24. Khasseh AA, Soosaraei M, Fakhar M. Cluster Analysis and Mapping of Iranian Researchers in the Field of Parasitology: With an Emphasis on the Co-authorship Indicators and H Index. Iran J Med Microbiol 2016; 10(2):63-74. ]In Persian[
25. Khasseh AA, Fakhar M, Soosaraei M, Sadeghi S. Present situation of scientific productions of Iranian researchers in parasitology domain in ISI databases. Parasitology 2011; 5 (1-2): 53-65. ]In Persian[
26. Hosseininasab SH, Makkizadeh F, Zalzadeh A, Hazeri A. The Thematic Structure of Papers on Depression Treatment in PubMed from 2005 to 2014. Isfahan University of Medical Sciences, Journal of Health Information Management (Health Inf Manag), 2016; 13(5):347-53. ]In Persian[
27. Makkizadeh F, Hazeri A, Hosininasab S, Soheili F. Thematic Analysis and Scientific Mapping of Papers related to Depression Therapy in PubMed. Iran University of Medical Science, Journal of Health Administration(JHA), 2016; 19(65):51-63. ]In Persian[
28. Soheili F, Hasanzadeh P, Mousavi-Chelak A, Khasseh AA. Scientific Mapping of Chronic Heart Failure based on Co- citation Analysis. Health Information Management(Health Inf Manage), 2018; 15(5):226-32. ]In Persian[
29. Shahrabi FH, Eskrootchi R, Mohaghegh N, Hosseini AF. A Study of Scientific Collaboration in Iranian Cardiovascular Articles in Web of Science 2002- 2011. Iran University of Medical Science, Journal of Health Administration(JHA), 2014; 17(56):46-55.]In Persian[
30. Hazeri A, Goruhi M. The Intellectual Structure of Knowledge in the Field of Medical Knowledge Management: A Co-Word Analysis. Health Information Management(Health Inf Manage), 2019; 16(3):136-42. ]In Persian[
31. Shargh A, Mohammad Hassanzadeh H, Johari K, Valinejadi A, Molaei A, Amanollahi A, et al. The study of the presence of Iranian neuroscience in ISI database based on scientometric factors. Iran University of Medical Science, Journal of Health Administration(JHA), 2011; 14(44):61-70.]In Persian[
32. Mostafavi I, Osareh F, Tavakolizadeh-Ravari M. Identifying content structure of «Knowledge and Information Science (KIS)» studies based on co-word analysis of articles in «Web of Science (WoS)» database (2009-2013). Iranian Research Institute for Information Science and Technology (IRANDOC), 2017; 33(3):1285-314. [In Persian].
33. Ahmadi H, Osareh F. Co-word Analysis Concept, Definition and Application. National Studies on Librarianship and Information Organization() (NASTINFO), 2017; 28(1):125-45. ]In Persian[
34. Soheili F, Danesh F, Mesrinejad F & Isfandyari Moghadam A. Lotka's Law of Scientific Productivity and Bradford's Law of Scatter among Researchers at Isfahan University of Medical Sciences based on Web of Science Database. Health Information Management(Health Inf Manage), 2012; 8(6):766-73.]In Persian[
35. Ke W., Yunjiang X., Xiao L., Weichan L. (2013) Analysis on Current Research of Supernetwork through Knowledge Mapping Method. In: Wang M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science, vol 8041. Springer, Berlin, Heidelberg. [DOI:10.1007/978-3-642-39787-5_45]
36. Melcer E, Nguyen THD, Chen Z, Canossa A, El-Nasr MS, Isbister K. Games research today: Analyzing the academic landscape 2000-2014. The 10th International Conference on the Foundations of Digital Games. Pacific Grove, USA; June 22-25; 2015.
37. Liu GY, Hu JM, Wang HL. A co-word analysis of digital library field in China. Scientometrics, 2012; 91(1):203-217. [DOI:10.1007/s11192-011-0586-4]
38. Law J, Bauin S, Courtial J, Whittaker J. Policy and the mapping of scientific change: A co-word analysis of research into environmental acidification. Scientometrics, 1988; 14(3-4):251-64. [DOI:10.1007/BF02020078]
39. Raeeszadeh M, Karamali M. Scientific mapping of military trauma papers using co-word analysis in Medline. Journal of Military Medicine, 2018; 20(5):476-87.]In Persian[
40. Soheili F, Khasseh A, Koranian P. Thematic trends of concepts in Knowledge and Information Science based on co-word analysis in Iran. National Studies on Librarianship and Information Organization (NASTINFO), 2018; 29(2):171-90. ]In Persian[
41. Soheili F, Khasseh AA, Koranian P. Mapping Intellectual Structure of Knowledge and Information Science in Iran based on Co- word Analysis. Journal of Information Processing and Management, 2019; 34(4):1905-38. ]In Persian[
42. Soheili F, Shabani A, Khasseh A. Intellectual Structure of Knowledge in Information Behavior: A Co-Word Analysis. Human Information Interaction, 2018; 2(4):21-36. ]In Persian[

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