A scientometric analysis of research trends, visualization, and emerging patterns in canine olfactory detection for cancer

Vet World Vol.17 July-2024 Article - 2

Research Article

Veterinary World, 17(7): 1430-1434

https://doi.org/10.14202/vetworld.2024.1430-1434

Fran Espinoza-Carhuancho¹, Franco Mauricio², Cesar Mauricio-Vilchez³, Diego Galarza-Valencia², Julia Medina², Josmel Pacheco-Mendoza¹, and Frank Mayta-Tovalino⁴

1. Bibliometrics, Evidence Evaluation and Systematic Review Group, Human Medicine Career, Universidad Cientifica del Sur, Lima, Peru.
2. Research, Innovation and Entrepreneurship Unit, Universidad Nacional Federico Villarreal, Lima, Peru.
3. Department of Academic, Faculty of Medical Technology, Universidad Nacional Federico Villarreal, Lima, Peru.
4. Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.

Background and Aim: Dogs can detect specific cancer odors with their exceptional sense of smell. This study aimed to conduct a scientometric analysis of canine olfactory detection in oncology, identifying trends, visualizations, and patterns.

Materials and Methods: A retrospective observational study was conducted using a quantitative-scientometric approach. Scopus was comprehensively searched using terms related to canine olfactory detection in oncology. Documents indexed in Scival software (Elsevier) and published between 2013 and 2022 were included.

Results: Claire M. Guest, Rob Harris, and Giuseppe Lippi authored significant academic work. Journals such as Journal of Breath Research and PLoS One rank highly in publications and citations due to significant citation ratios, according to CiteScore’s quartile-based impact analysis. According to Lotka’s and Bradford’s laws, a small group of authors and the Journal of Breath Research, respectively, dominate production in their fields.

Conclusion: This analysis forms a solid base for future research on canine olfactory detection in oncology. The collaborative essence of this multidisciplinary field is emphasized by the key contributors and identified patterns, with journals in the Q1 and Q2 quartiles of CiteScore holding significant importance.

Keywords: canine olfactory, oncology, scientometric.

How to cite this article: Espinoza-Carhuancho F, Mauricio F, Mauricio-Vilchez C, Galarza-Valencia D, Medina J, Pacheco-Mendoza J, and Mayta-Tovalino F (2024) A scientometric analysis of research trends, visualization, and emerging patterns in canine olfactory detection for cancer, Veterinary World, 17(7): 1430–1434.

Received: 2024-03-19 Accepted: 2024-05-30 Published online: 2024-07-06

Corresponding author: Frank Mayta-Tovalino E-mail: fmayta@usil.edu.pe

DOI: 10.14202/vetworld.2024.1430-1434

Copyright: Espinoza-Carhuancho, et al. This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/ by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.