TY - JOUR
T1 - Current trends and spatial-temporal dynamics of veterinary dentistry research
T2 - A scientometric study
AU - Alvitez-Temoche, Daniel
AU - del Aguila, Elca
AU - Galarza-Valencia, Diego
AU - Calderón, Iván
AU - Espinoza-Carhuancho, Fran
AU - Pacheco-Mendoza, Josmel
AU - Mayta-Tovalino, Frank
N1 - Publisher Copyright:
Alvitez-Temoche, et al.
PY - 2024/3
Y1 - 2024/3
N2 - Background and Aim: Understanding dental care in dogs has made remarkable progress in veterinary medicine. Therefore, this study aimed to analyze the academic literature published in veterinary dentistry from 1990 to 2023. Materials and Methods: A descriptive study was conducted using a scientometric approach and metadata from the Web of Science database. A search strategy adapted for this database was developed using MeSH and Emtree terms and the Boolean operators AND and OR. Using Bibliometrix, different metrics were evaluated to assess the scientific production of researchers and institutions and the impact of authors based on their publications. CiteSpace was also used for co-citation analysis and visualization of citation networks, trends, and patterns in this field of study over time. Results: The bibliometric study analyzed 211 documents from 50 different sources from 1990 to 2023, with an annual growth rate of 6.5%, covering the period 1990–2023. A total of 474 authors were identified, with an average of 2.82 coauthors per paper and 11.85% international coauthorships. The average age of the papers was 12.4 years and 4.55 citations per paper. The most common types of documents were articles (154 documents). Conclusion: Research in veterinary dentistry has shown steady growth from 1990 to 2023. Although there have been fluctuations in article production over the years, there has been a steady growth in article production in veterinary dentistry in general. The annual average number of citations per article has varied over the years, reaching 45 in 2015. However, the average number of citations per article has decreased significantly from 2021 to 2023.
AB - Background and Aim: Understanding dental care in dogs has made remarkable progress in veterinary medicine. Therefore, this study aimed to analyze the academic literature published in veterinary dentistry from 1990 to 2023. Materials and Methods: A descriptive study was conducted using a scientometric approach and metadata from the Web of Science database. A search strategy adapted for this database was developed using MeSH and Emtree terms and the Boolean operators AND and OR. Using Bibliometrix, different metrics were evaluated to assess the scientific production of researchers and institutions and the impact of authors based on their publications. CiteSpace was also used for co-citation analysis and visualization of citation networks, trends, and patterns in this field of study over time. Results: The bibliometric study analyzed 211 documents from 50 different sources from 1990 to 2023, with an annual growth rate of 6.5%, covering the period 1990–2023. A total of 474 authors were identified, with an average of 2.82 coauthors per paper and 11.85% international coauthorships. The average age of the papers was 12.4 years and 4.55 citations per paper. The most common types of documents were articles (154 documents). Conclusion: Research in veterinary dentistry has shown steady growth from 1990 to 2023. Although there have been fluctuations in article production over the years, there has been a steady growth in article production in veterinary dentistry in general. The annual average number of citations per article has varied over the years, reaching 45 in 2015. However, the average number of citations per article has decreased significantly from 2021 to 2023.
KW - bibliometrix
KW - scientometrics
KW - veterinary dentistry
UR - http://www.scopus.com/inward/record.url?scp=85197357368&partnerID=8YFLogxK
U2 - 10.14202/vetworld.2024.666-671
DO - 10.14202/vetworld.2024.666-671
M3 - Artículo
AN - SCOPUS:85197357368
SN - 0972-8988
VL - 17
SP - 666
EP - 671
JO - Veterinary World
JF - Veterinary World
IS - 3
ER -