Gastrointestinal Ultrasound in Dogs: Scientometric Analysis

The objective of this study is to evaluate, through a scientometric analysis, the scientific production of studies related to intestinal ultrasonography in dogs. For this purpose, using the Web of Science database, articles published between 2014 and 2023 were selected. The initial screening of the studies resulted in the selection of 103 papers, of which only 10 were included in this research after evaluating the criteria related to the theme and methodology used. Data collection consisted of gathering information on publication date, authors, journals, countries, keywords, document type, areas of knowledge, objectives, institutions, and relevant information on the subject. The results show a cycle of 3 publications up to the year 2021, as well as keywords related to the topic but aligned with other areas, such as neonatology. Other findings included the identification of 48 authors, two articles restricted to the topic, greater participation from Italian universities in the publications, and a main focus on intestinal ultrasonography. It is concluded that this study is of great importance, as it provides greater transparency and open access to scientific research.

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Publication Details

Journal
Advances in Research
Published
2024-10-31
DOI
https://doi.org/10.9734/air/2024/v25i61174
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Gastrointestinal Ultrasound in Dogs: Scientometric Analysis

Iago Martins Oliveira, Marco Antônio Fonseca, Daniel Vieira Costa, Carlos Eduardo Fontoura da Silva et al.
Advances in Research
Radiomics and Machine Learning in Medical Imaging
article

Gastrointestinal Ultrasound in Dogs: Scientometric Analysis

Iago Martins Oliveira, Marco Antônio Fonseca, Daniel Vieira Costa, Carlos Eduardo Fontoura da Silva, Mariana Moreira Lopes, Giselle Sales Borges
article en

Abstract

The objective of this study is to evaluate, through a scientometric analysis, the scientific production of studies related to intestinal ultrasonography in dogs. For this purpose, using the Web of Science database, articles published between 2014 and 2023 were selected. The initial screening of the studies resulted in the selection of 103 papers, of which only 10 were included in this research after evaluating the criteria related to the theme and methodology used. Data collection consisted of gathering information on publication date, authors, journals, countries, keywords, document type, areas of knowledge, objectives, institutions, and relevant information on the subject. The results show a cycle of 3 publications up to the year 2021, as well as keywords related to the topic but aligned with other areas, such as neonatology. Other findings included the identification of 48 authors, two articles restricted to the topic, greater participation from Italian universities in the publications, and a main focus on intestinal ultrasonography. It is concluded that this study is of great importance, as it provides greater transparency and open access to scientific research.

Advances in ResearchVol. 25(6)
Pontifícia Universidade Católica de Goiás (BR)
Openalex Percentile: Top 68%
Radiomics and Machine Learning in Medical Imaging
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