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Bibliometric Analysis of Highly Cited Articles on Sinus Augmentation
Purpose:
To identify the top-cited articles in the field of sinus augmentation and to analyze the different bibliometric variables that impacted the citation of articles.
Materials And Methods:
A search was conducted in the Web of Science database and sorted to find articles that were cited at least 100 times. The articles were then screened by two independent investigators (S.S. and K.C.M.) for inclusion. The included articles were analyzed to generate (1) keyword and title word maps using the VOS viewer program, (2) author timelines and contributions using Bibliometrix, and (3) citation analysis data using the HistCite software (Informer Technologies). Then the data were analyzed for individual variables affected by citation counts using Quasi-Poisson regression, Wilcoxon signed-rank test, and Fisher's exact test.
Results:
A total of 162 articles were included in the analysis. The number of references in each article was directly proportional and the journal impact factor and number of pages in the included articles were inversely proportional to the number of citations (P < .05). Note that authors from the USA had the highest number of publications within the collection.
Conclusions:
The top-publishing authors, countries, keywords, and title words were identified. It was observed that the number of references, the journal impact factor, and the number of pages of the included articles significantly impacted citation counts obtained by a given article.
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