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Bibliometric analysis of the top 100 most cited articles on craniosynostosis

Authors :
Abdulelah Alturkistani
Fahad S. Alotaibi
Othman T. Almutairi
Mohammed Bafaquh
Fahad E. Alotaibi
Modhi Alhussinan
Turki Elarjani
Source :
Child's Nervous System. 37:587-597
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Craniosynostosis is the premature closure of cranial sutures and it continues to be a therapeutic challenge due to the diversity and complexity of the syndrome. Bibliometric analysis is a study of ranking citations and exploring the most impactful articles in a respective discipline. It also demonstrates the chronological trends of publications. In May 2020, we performed a title-specific search of the Scopus database using “craniosynostosis” as our query term without publication date restrictions. The top 100 articles in craniosynostosis were retrieved and analyzed. The top 100 most-cited articles in craniosynostosis received a total 13,826 citations, and an average of 138 citations per paper. The publication dates ranged from 1920 to 2015, with a peak period of top publications between 1996 and 2005. The most common category is clinical, followed by neurogenetics. The top cited article received 540 citation counts and 19.29 citations per year. The USA was the most contributing country to the list. The Journal of Plastic and Reconstructive Surgery published the largest number of top cited articles. Neurosurgery as a specialty contributed to most articles in the list (27 articles). The institute who contributed the most was the Assistance Publique Hopitaux Paris. Bibliometric analysis in craniosynostosis revealed major trend changes of research over the years, with a focus on neurogenetics and the different types of surgical corrections. The current collection of highly cited publications may assist physicians in gaining a better understanding of the evidence-based approach in craniosynostosis.

Details

ISSN :
14330350 and 02567040
Volume :
37
Database :
OpenAIRE
Journal :
Child's Nervous System
Accession number :
edsair.doi...........fa2bce7c8e204c2cb965ea2be771bb9e
Full Text :
https://doi.org/10.1007/s00381-020-04858-2