Bibliometric analysis of articles published in Cukurova Medical Journal between 2011 and 2022

Year 2023, Volume: 48 Issue: 4, 1405 - 1411, 29.12.2023

Sema Özandaç Polat , Mahmut Tunç , Esin Özşahin , Lut Tamam , Pınar Göker

https://doi.org/10.17826/cumj.1348988

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.

Keywords

Bibliometric analysis, keyword, term, Cukurova medical journal

Cukurova Medical Journal’da 2011-2022 yılları arasında yayınlanan makalelerin bibliyometrik analizi

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.

Keywords

Bibliyometrik analiz, anahtar kelime, terim, Cukurova Medical Journal

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