Content analysis of the top 25 most cited articles of the journal of craniofacial surgery with chatgpt-4o

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dc.contributor.authorDurna, Yusuf Muhammed
dc.contributor.authorTekin, Mustafa Said
dc.contributor.authorDuymaz, Yaşar Kemal
dc.contributor.authorTekin, Ahmet Mahmut
dc.contributor.authorBahşi, İlhan
dc.date.accessioned2025-06-13T12:51:31Z
dc.date.available2025-06-13T12:51:31Z
dc.date.issued2025
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü, Kulak Burun Boğaz Hastalıkları Ana Bilim Dalı
dc.description.abstractObjective:Since 1990, the Journal of Craniofacial Surgery has been an important resource for clinicians and basic scientists. The journal addresses clinical practice, surgical innovations, and educational issues. This study aims to evaluate the contribution of these articles to clinical practice innovations and surgical procedures by analyzing the content of the 25 most cited articles published in the journal. It also aims to demonstrate the potential of artificial intelligence tools in academic content analysis.Methods:All articles published in the Journal of Craniofacial Surgery on June 13, 2024, were searched using the Web of Science Database, and the 25 most cited articles were identified. The full texts of these articles were saved in PDF format and metadata were saved as plain text files. Content analysis of these 25 articles was performed using ChatGPT-4o.Results:As a result of the analysis, some articles stood out in terms of clinical importance. It also appeared that ChatGPT could be used to compare multiple articles.Conclusion:In this study, the authors analyzed the content of the 25 most cited articles published in the Journal of Craniofacial Surgery using ChatGPT-4o. These articles were evaluated according to the criteria of innovations in clinical practice and compliance with surgical procedures. This study presents interesting findings in terms of the use of artificial intelligence tools in academic content analysis. The authors thought that this study could be a source of inspiration for future studies.
dc.identifier.citationDurna, Y. M., Tekin, M. S., Duymaz, Y. K., Tekin, A. M. ve Bahşi, İ. (2025). Content analysis of the top 25 most cited articles of the journal of craniofacial surgery with chatgpt-4o. Journal of Craniofacial Surgery, 36(1), 71-73. http://dx.doi.org/10.1097/SCS.0000000000010619
dc.identifier.doi10.1097/SCS.0000000000010619
dc.identifier.endpage73
dc.identifier.issn1049-2275
dc.identifier.issn1536-3732
dc.identifier.issue1
dc.identifier.pmid39264206
dc.identifier.startpage71
dc.identifier.urihttp://dx.doi.org/10.1097/SCS.0000000000010619
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12969
dc.identifier.volume36
dc.identifier.wosWOS:001386652900045
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.institutionauthorTekin, Mustafa Said
dc.institutionauthorid0000-0002-7051-4926
dc.language.isoen
dc.relation.ispartofJournal of Craniofacial Surgery
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectChatGPT
dc.subjectChatGPT-4o
dc.subjectJournal of Craniofacial Surgery
dc.titleContent analysis of the top 25 most cited articles of the journal of craniofacial surgery with chatgpt-4o
dc.typeArticle

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