J Korean Neurosurg Soc.  2024 Jan;67(1):50-59. 10.3340/jkns.2023.0047.

Publication Trends in the Pelvic Parameter Related Literature between 1992 and 2022 : A Bibliometric Review

• Yüksel S
• Özmen E
• Barış A
• Circi E
• Beytemür O

• KMID: 2550459
• DOI: http://doi.org/10.3340/jkns.2023.0047

Abstract

Objective
: This study aimed to conduct a bibliometric analysis on pelvic parameter related research over the last 30 years, analyzing trends, hotspots, and influential works within this field.
Methods
: A comprehensive Web of Science database search was performed. The search yielded 3249 results, focusing on articles and reviews published from 1992 to 2022 in English. Data was analyzed using CiteSpace and VOSviewer for keyword, authorship, and citation burst analysis, co-citation analysis, and clustering.
Results
: The number of publications and citations related to pelvic parameters has increased exponentially over the last 30 years. The USA leads in publication count with 1003 articles. Top publishing journals include the European Spine Journal, Spine, and Journal of Neurosurgery: Spine, with significant contributions by Schwab, Lafage V, and Protoptaltis. The most influential articles were identified using centrality and sigma values, indicating their role as key articles within the field. Research hotspots included spinal deformity, total hip arthroplasty, and sagittal alignment.
Conclusion
: Interest in pelvic parameter related research has grown significantly over the last three decades, indicating its relevance in modern orthopedics. The most influential works within this field have contributed to our understanding of spinal deformity, pelvic incidence, and their relation to total hip arthroplasty. This study provides a comprehensive overview of the trends and influential research in the field of pelvic parameters.

Keyword

Bibliometrics; Scientometric indicators; Spine; Posture

Figure

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  Fig. 1. Number of publications and citations generated per year. Red line represents the number of citations.

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  Fig. 2. Burst analysis of publishing countries.

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  Fig. 3. Co-citation map of references.

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  Fig. 4. Visual representation of the clustering of co-citations according to title, abstract, and keywords.

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  Fig. 5. Network visualization of organization co-authorship.

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  Fig. 6. Network of 100 most commonly used keywords.

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  Fig. 7. A : Top 10 author with the strongest authorship burst. B : Top 20 cited authors with the strongest citation burst. C : Top 20 keywords with the strongest citation burst.

Reference

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