Abstract
Purpose: This study aimed to perform a bibliometric analysis of the abstracts and keywords in articles published in the Cukurova Medical Journal from 2011 to 2022.
Materials and Methods: We compiled and analyzed all articles published in the Cukurova Medical Journal between 2011 and 2022, totaling 1734 articles, using VOSviewer software (version 1.6.19). This analysis focused on the terms in the abstracts and the keywords of these articles.
Results: The study identified 27,409 unique terms and 4,040 unique keywords in the abstracts of the 1734 articles. The most common terms were 'surgery' (333 occurrences), 'pain' (263), 'infection' (201), 'measurement' (192), 'rat' (185), 'tumor' (177), 'covid' (157), 'pregnancy' (148), 'questionnaire' (144), and 'drug' (142). The top keywords were 'children' (43 occurrences), 'quality of life' (37), 'covid-19' (34), 'nursing' (32), 'pregnancy' (28), 'depression' (27), 'mortality' (26), 'anxiety' (24), 'child' (22), and 'obesity' (17).
Conclusion: This is the first bibliometric analysis of keywords and terms used in the Cukurova Medical Journal, offering insights into the evolving topics of interest in the journal's publications. It also provides valuable information for researchers looking to submit articles to the journal, highlighting prevalent themes and content areas.
References
- Chen C, Dubin R, Kim MC. Emerging trends and new developments in re-generative medicine: A scientometric update (2000–2014). Expert Opin Biol Ther. 2014;14:1295-317.
- Dhiman A. Ethnobotany journal: A ten year bibliometric study. IASLIC Bull. 2000;45:177-82.
- Wallin JA. Bibliometric methods: pitfalls and possibilities. Basic Clin Pharmacol Toxicol. 2005;97:261-75.
- Abdi A, Idris N, Alguliyev RM, Aliguliyev RM. Bibliometric analysis of IP&M journal. J Sci Res. 2018;7:54-62.
- He J, Kang J, Sun S, Cooper M, Zickgraf HF, Zhai Y. The landscape of eating disorders research: A 40-year bibliometric analysis. Eur Eat Disord Rev. 2022;30:96-109.
- Cukurova Medical Journal. Home page. https://dergipark.org.tr/en/pub/cumj (Accessed 01.07.2023).
- Thompson DF. Bibliometric analysis of pharmacology publications in the United States: A state-level evaluation. J Sci Res. 2019;7:167-72.
- Nicolaisen J. Citation analysis. Annu Rev Inf Sci Technol. 2007;41:609–41.
- Web of Science. Journal evaluation process and selection criteria. https://clarivate.com/products/ scientific-and-academic-research/ (Accessed 01.09.2023).
- van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84:523-38.
- Chen Y, Chen CM, Liu ZY, Hu ZG, Wang XW. The methodology function of CiteSpace mapping knowledge domains. Stud Sci Sci. 2015;33:242-53.
- Park HA, Lee JY, On J, Lee JH, Jung H, Park SK. 2016 year-in-review of clinical and consumer informatics: analysis and visualization of keywords and topics. Healthc Inform Res. 2017;23:77-86.
- Waltman L, van Eck NJ, Noyons ECM. A unified approach to mapping and clustering of bibliometric networks. J. Informetr. 2010;4:629–35.
- Li T, Ho YS, Li CY. Bibliometric analysis on global Parkinson's disease research trends during 1991-2006. Neurosci Lett. 2008;441:248-52.
- Seyhan F, Öztürk, Z. Covid-19 konusunda yapılan bilimsel çalışmaların görsel haritalama tekniği ile bibliyometrik analizi. Turkish Studies Social. 2021;16:1799-817.
- World Health Organization. COVID-19. https://covid19.who.int/ (Accessed 01.09.2023)
Abstract
Amaç: Bu çalışmanın amacı Cukurova Medical Journal’da 2011-2022 yılları arasında yayınlanan makalelerin özet kısmında yer alan terim ve anahtar kelimelerin bibliyometrik olarak değerlendirilmesidir.
Gereç ve Yöntem: Cukurova Medical Journal’da 2011-2022 yılları arasında yayınlanan makalelerin her biri belirlenerek listelendi. Belirlenen 1734 makalenin tamamı VOSviewer (versiyon 1.6.19) programına aktarıldı. Makalelerin özet bölümünde yer alan terimler ve anahtar kelimeler VOSviewer yazılım programı aracılığıyla değerlendirildi.
Bulgular: Çalışma, 1734 makalenin özetlerinde 27,409 benzersiz terim ve 4,040 benzersiz anahtar kelime tespit etti. En yaygın terimler 'cerrahi' (333 kez), 'ağrı' (263), 'enfeksiyon' (201), 'ölçüm' (192), 'sıçan' (185), 'tümör' (177), 'covid' (157), 'gebelik' (148), 'anket' (144) ve 'ilaç' (142) idi. En çok kullanılan anahtar kelimeler ise 'çocuklar' (43 kez), 'yaşam kalitesi' (37), 'covid-19' (34), 'hemşirelik' (32), 'gebelik' (28), 'depresyon' (27), 'ölüm oranı' (26), 'anksiyete' (24), 'çocuk' (22) ve 'obezite' (17) idi..
Sonuç: Sunulan bu çalışma Cukurova Medical Journal’a ait ilk bibliyometrik anahtar kelime ve terim analizidir ve Cukurova Medical Journal’da geçmişten günümüze yayınlanan makalelerin zamanla değişen eğilimleri hakkında bilgi sahibi olmamıza olanak sağlamaktadır. Ayrıca, çalışmamız dergiye makale göndermek isteyen araştırmacıların derginin içeriği hakkında bilgi sahibi olmalarını sağlayacaktır.
References
- Chen C, Dubin R, Kim MC. Emerging trends and new developments in re-generative medicine: A scientometric update (2000–2014). Expert Opin Biol Ther. 2014;14:1295-317.
- Dhiman A. Ethnobotany journal: A ten year bibliometric study. IASLIC Bull. 2000;45:177-82.
- Wallin JA. Bibliometric methods: pitfalls and possibilities. Basic Clin Pharmacol Toxicol. 2005;97:261-75.
- Abdi A, Idris N, Alguliyev RM, Aliguliyev RM. Bibliometric analysis of IP&M journal. J Sci Res. 2018;7:54-62.
- He J, Kang J, Sun S, Cooper M, Zickgraf HF, Zhai Y. The landscape of eating disorders research: A 40-year bibliometric analysis. Eur Eat Disord Rev. 2022;30:96-109.
- Cukurova Medical Journal. Home page. https://dergipark.org.tr/en/pub/cumj (Accessed 01.07.2023).
- Thompson DF. Bibliometric analysis of pharmacology publications in the United States: A state-level evaluation. J Sci Res. 2019;7:167-72.
- Nicolaisen J. Citation analysis. Annu Rev Inf Sci Technol. 2007;41:609–41.
- Web of Science. Journal evaluation process and selection criteria. https://clarivate.com/products/ scientific-and-academic-research/ (Accessed 01.09.2023).
- van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84:523-38.
- Chen Y, Chen CM, Liu ZY, Hu ZG, Wang XW. The methodology function of CiteSpace mapping knowledge domains. Stud Sci Sci. 2015;33:242-53.
- Park HA, Lee JY, On J, Lee JH, Jung H, Park SK. 2016 year-in-review of clinical and consumer informatics: analysis and visualization of keywords and topics. Healthc Inform Res. 2017;23:77-86.
- Waltman L, van Eck NJ, Noyons ECM. A unified approach to mapping and clustering of bibliometric networks. J. Informetr. 2010;4:629–35.
- Li T, Ho YS, Li CY. Bibliometric analysis on global Parkinson's disease research trends during 1991-2006. Neurosci Lett. 2008;441:248-52.
- Seyhan F, Öztürk, Z. Covid-19 konusunda yapılan bilimsel çalışmaların görsel haritalama tekniği ile bibliyometrik analizi. Turkish Studies Social. 2021;16:1799-817.
- World Health Organization. COVID-19. https://covid19.who.int/ (Accessed 01.09.2023)
Details
| Primary Language | English |
|---|---|
| Subjects | Clinical Sciences (Other) |
| Journal Section | Review |
| Authors | |
| Publication Date | December 29, 2023 |
| Acceptance Date | November 11, 2023 |
| Published in Issue | Year 2023 Volume: 48 Issue: 4 |
