Co-word Analysis of Scientific Outputs in the Field of Bibliotherapy in Web of Science

Khoeini, Soheila, Noruzi, Alireza, Jozi, Zeinab and Mostafavi, Ismael Co-word Analysis of Scientific Outputs in the Field of Bibliotherapy in Web of Science. Caspian Journal of Scientometrics, 2022, vol. 9, n. 1, pp. 13-28. [Journal article (Paginated)]

[thumbnail of bibliotherapy publications.pdf]
Preview
 Text
bibliotherapy publications.pdf
Download (1MB) | Preview

English abstract

Background and aim: Scientometric studies are one of the most efficient methods of scientific evaluation in a valid scientific database. Therefore, the aim of this study was to analyze the co-word analysis of scientific outputs in the field of bibliotherapy in the Web of Science (WoS). Materials and methods: This scientometric study was conducted using library methods and network analysis. The statistical population of this study included all documents indexed in the WoS with the subject of bibliotherapy from 1975 to 2020. Data were analyzed using Excel, Pajek, UCINET, Netdraw, and VOSviewer softwares. Findings: The results showed that the scientific outputs in the field of bibliotherapy had no appropriate growth rate, and the growth rate of the total scientific outputs in this field was 3%. The field of "psychology" was the most active one with the production of 49% of bibliotherapy studies. Based on the study of the co-word network in the field of bibliotherapy, six thematic clusters were identified. The "Bibliotherapy for children" cluster with 1013 keywords was recognized as the largest cluster, and the "Bibliotherapy" keyword with 543 frequencies was the most frequent keywords. The "Bibliotherapy" and "Depression" keywords with 153 frequencies had the most co-word occurrence. The network density was 1.26. Moreover, the keywords of bibliotherapy, depression, and self-help had the highest rank centrality (100, 85.417, and 82.292), betweenness centrality (11.194, 5.378 and 4.310), and closeness centrality (100, 87.273, and 84.956), respectively. Conclusion: The trend of bibliotherapy studies was poor, and the medical fields had not paid much attention to its use in the treatment of diseases. Therefore, health policy makers must take the necessary plans to improve and strengthen bibliotherapy studies in all areas.

Item type: Journal article (Paginated)
Keywords: Scientific outputs, Bibliography, Thematic clusters, Co-word analysis, Bibliotherapy
Subjects: C. Users, literacy and reading. > CF. Reading and story telling.
Depositing user: Dr. Alireza Noruzi
Date deposited: 16 Mar 2022 16:42
Last modified: 16 Mar 2022 16:42
URI: http://hdl.handle.net/10760/42974

References

1. Dehghani Ashkezari MR, Mahdikhani M. Drawing a scientific map of the brand field based on articles indexed in WoS scientific database. Caspian Journal of Scientometrics. 2021; 8(1): 70-80. Available at: http://cjs.mubabol.ac.ir/article-1-209-en.html

2. Osareh F, Heidari G, Zare Frashbandi F, Haji Zeinolabedini M, Horri A. From Bibliometrics to Webometrics: An Analysis of Principles, Perspectives, Rules, and Indicators. Tehran: Ketabdar Publication; 2009.

3. Floyd M, Scogin F, McKendree-Smith NL, Floyd DL, Rokke PD. Cognitive therapy for depression: a comparison of individual psychotherapy and bibliotherapy for depressed older adults. Behavior Modification. 2004; 28(2): 297-318.

4. Aliramezani H. Bibliotherapy: uncomplicated therapy. Scientific Quarterly of Central Library and Documentation Center of Kerman University of Medical Sciences. 2008; 1(1): 3-7.

5. Riahinia N, Azimi A. Fundamentals, theories and applications of bibliotherapy. Tehran: Chapar Publications; 2012.

6. Zare Farashbandi F, Salimi S. Bibliotherapy: Applications, Approaches, Roles. Health information management. 2014; 11(1): 124-34. Available at: http://him.mui.ac.ir/index.php/him/article/view/1584

7. Zhang K, Wang Q, Liang QM, Chen H. A bibliometric analysis of research on carbon tax from 1989 to 2014. Renewable and Sustainable Energy Reviews. 2016; 58: 297-310.

8. Whittaker J. Creativity and conformity in science: Titles, keywords and co-word analysis. Social Studies of Science. 1989; 19(3): 473-96.

9. Chen X, Chen J, Wu D, Xie Y, Li J. Mapping the research trends by co-word analysis based on keywords from funded project. Procedia Computer Science. 2016; 91: 547-55.

10. Lee P-C, Su H-N. Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis. Innovation: Organization & Management. 2010; 12(1): 26-40.

11. Kumar S, Jan JM. Discovering knowledge landscapes: an epistemic analysis of business and management field in Malaysia. Procedia-Social and Behavioral Sciences. 2012; 65: 1027-32.

12. Hosseininasab SH, Makkizadeh F, Zalzadeh E, Hazeri A. The Thematic Structure of Papers on Depression Treatment in PubMed from 2005 to 2014. Journal of Health Information Management (Health Inf Manag). 2016; 13(5): 347-53. Available at: http://him.mui.ac.ir/index.php/him/article/view/2770

13. Osareh F, Khademizadeh S, Torfipour S. Mapping and analyzing the scientific outcomes in autism spectrum disorder using lexical co-occurrence approach. Journal of Health Information Management. 2020. 16(5): 229-35. Available at: http://him.mui.ac.ir/index.php/him/article/view/3951/3743

14. Hamdipour A, Atapour H, Zardary S. 50 years of research in the psychotherapy: a scientometric study. Journal of Modern Psychological Researches. 2020; 15(59): 87-108. Available at: https://psychologyj.tabrizu.ac.ir/article_11496_en.html

15. Tran BX, Ha GH, Nguyen DN, Nguyen TP, Do HT, Latkin CA, et al. Global mapping of interventions to improve quality of life of patients with depression during 1990-2018. Quality of Life Research. 2020; 29: 2333-43.

16. Emami Z, Joulahi L, Okhovatian F, Shahrokhifarid R. Mapping the Scientific Outputs in the Field of Physiotherapy: A Co-Word Analysis. Journal of Clinical Physiotherapy Research. 2020; 5(3): e18.

17. Makkizadeh F, Hazeri A, Hosininasab S, Soheili F. Thematic analysis and scientific mapping of papers related to depression therapy in PubMed. Journal of Health Administration (JHA). 2016; 19(65): 51-63. Available at: http://jha.iums.ac.ir/article-1-2074-en.html

18. Lou Y-C, Lin H-F. Estimate of global research trends and performance in family therapy in Social Science Citation Index. Scientometrics. 2012; 90(3): 807-23.

19. Shanming Z, Changhua N, Hanrong W. A bibliometric analysis of research on the behavior therapy in China and its trend. Journal of Huazhong University of Science and Technology [Medical Sciences]. 2003; 23: 423-6.

20. Surulinathi M, Muthuraj A, Rajkumar T. Measuring the Research Productivity on Bibliotherapy: A Global Perspective.

21. Delghandi F, Riahi Nia N, Kadivar P, Sarami G. Meta analysis of effectievness of bibliotherapy on anxiety disorders and depression in children and adolescence. Journal of Sabzevar University of Medical Sciences. 2019; 26(2): 233-45. Available at: http://jsums.medsab.ac.ir/article_1181.html?lang=en

22. Masomi L, VakiliMofrad H, Ghadimi A, Razavi Z, Fattahi A, Tanzadehpanah H. The Effectiveness of the Book on Improving the Treatment of Cancer Patients in Age B (7-9 Years). Journal of Academic librarianship and Information Research. 2020; 53(4): 1-1. Available at: https://jlib.ut.ac.ir/article_75877_en.html?lang=en

23. Sahami M, Amini-Manesh S. The Effectiveness of Bibliotherapy on Stress, Anxiety, and Depression in Women Referring to Shiraz Municipality Cultural Center, Iran. Health Information Management. 2019; 16(2): 82-87. Available at: http://him.mui.ac.ir/index.php/him/article/view/3875

24. Delghandi F, Riahinia N, Kadivar P, Sarami G. The effectiveness of bibliotherapy studies in children and adolescents by meta-analysis. National Studies on Librarianship and Informaion Organization. 2018; 29(2): 51-75. Available at: http://nastinfo.nlai.ir/article_2232.html

25. Kohan F, Toloei ghamari S. Investigating the role of books in the treatment of diseases. Strategic Studies in Humanities and Islamic Sciences. 2016; 3(1): 199-221. Available at: https://civilica.com/doc/704182/

26. Monroy-Fraustro D, Maldonado-Castellanos I, Aboites-Molina M, Rodríguez S, Sueiras P, Altamirano-Bustamante NF, et al. Bibliotherapy as a Non-pharmaceutical Intervention to Enhance Mental Health in Response to the COVID-19 Pandemic: A Mixed-Methods Systematic Review and Bioethical Meta-Analysis. Frontiers in public health. 2021; 9: Article 629872: 1-15.

27. Czernianin W, Czernianin H, Chatzipentidis K. Bibliotherapy: a review and perspective from Poland. Journal of Poetry Therapy. 2019; 32(2): 78-94.

28. Gualano MR, Bert F, Martorana M, Voglino G, Andriolo V, Thomas R, et al. The long-term effects of bibliotherapy in depression treatment: Systematic review of randomized clinical trials. Clinical psychology review. 2017; 58: 49-58.

29. Naylor EV. A five-minute bibliotherapy prescription as a physician-delivered treatment for depression. [PhD Thesis]. University of Nevada, Reno; 2008.

30. Frieswijk N, Steverink N, Buunk BP, Slaets JP. The effectiveness of a bibliotherapy in increasing the self-management ability of slightly to moderately frail older people. Patient education and counseling. 2006; 61(2): 219-27.

31. Marrs RW. A meta‐analysis of bibliotherapy studies. American journal of community psychology. 1995; 23(6): 843-70.

32. Tajdaran M, Saeedi Moghadam Z, Ghanbari M, Cheragh Mollai L. Self-help treatment through books: reviewing therapists and clients comments. Journal of Psychological Studies. 2014; 10(3): 79-94. Available at: https://psychstudies.alzahra.ac.ir/article_1780_0.html

33. Chung KKS, Hossain L, Davis J. Exploring sociocentric and egocentric approaches for social network analysis. Second International Conference on Knowledge Management in Asia Pacific. New Zealand: Victoria University of Wellington. 2005: pp.1-8. Available at: https://ro.uow.edu.au/infopapers/1967/

34. Frank O. Using centrality modeling in network surveys. Social networks. 2002; 24(4): 385-94.

35. Hanneman RA, Riddle M. Introduction to social network methods. University of California, Riverside; 2005. Available at: http://wiki.gonzaga.edu/dpls707/images/6/6e/Introduction_to_Social_Network_Methods.pdf

36. Erfanmanesh M, Basirian Jahromi R. The Co-authorship Network of the Articles Published in the National Studies on Librarianship and Information Organization Journal Using Social Networks Analysis Indexes. National Studies on Librarianship and Informaion Organization. 2013; 24(2): 76-96. Available at: http://nastinfo.nlai.ir/article_72.html

37. Zhang G, Liu L, Feng Y, Shao Z, Li Y. Cext-N index: a network node centrality measure for collaborative relationship distribution. Scientometrics. 2014; 101: 291-307.

38. Soheili F, Ossareh F. Concepts of centrality and density in scientific and social networks. National Studies on Librarianship and Informaion Organization. 2013; 24(3): 92-108. Available at: http://nastinfo.nlai.ir/article_64.html?lang=en

39. De Vries D, Brennan Z, Lankin M, Morse R, Rix B, Beck T. Healing with books: A literature review of bibliotherapy used with children and youth who have experienced trauma. Therapeutic Recreation Journal. 2017; 51(1): 48-74.

40. Dirks K-L. Bibliotherapy for the inclusive elementary classroom. Senior Honors Theses & Projects. 2010: 237.

41. Jokar M, Baghban I, Ahmadi A. Comparison of the Effect of Face to Face Counseling and Cognitive Bibliotherapy in Reducing Depressive Symptoms. Iraninan Psychiatry and Clinical Psychology. 2006; 12(3): 270-6. Available at: http://ijpcp.iums.ac.ir/article-1-13-en.html

42. Khoeini S, Noruzi A, Fahimnia F. How to implement bibliotherapy from the perspective of information professionals and psychology professionals with an emphasis on the role of librarians. Studies on Library & Information Science. 2019; 11(1): 89-104. Available at: https://slis.scu.ac.ir/article_14578.html


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item
Contact us
Send email Sponsors
Sponsor: AIMS Sponsor: D&P Sponsor: UniNa CAB Get connected
Facebook Facebook Twitter Twitter Linkedin LinkedIn RSS RSS