ArticleVeterinary world2024
A scientometric analysis of research trends, visualization, and emerging patterns in canine olfactory detection for cancer.
Article in Veterinary world, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Bibliometric Analysis of the Worldwide Scientific Production on Periapical Lesions in Veterinary Medicine: Visualization, Emerging Patterns, and Thematic Evolution.Veterinary medicine international · 2026Article
- An overview of the benefits of animal-assisted interventions in medical and therapeutic contexts for human health: cognitive mechanisms, sensory perception and welfare considerations.Frontiers in veterinary science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.