Web of Science-Based Scientometric Assessment of the Importance of Filtered Water in Dentistry: Spatiotemporal Dynamics, Emerging Patterns, and Collaboration.

Objective: The aim of this study was to examine the characteristics of scientific production related to the use of filtered water in the field of dentistry. Material and Methods. A quantitative and descriptive observational study was carried out with a scientometric approach. Data were collected from the Web of Science (WOS) database during the period January 1991 to December 2023. A search strategy incorporating a combination of MeSH terms, including terms and thesauri related to "filtered water" and "dentistry", was used. R Studio version 4.3.2 and CiteSpace 6.2.R7 were used for data analysis. Results: Over the 32-year study period, 227 scholarly papers from 134 different sources were reviewed. The literature in this field has shown an annual growth rate of 10.44%. During the year 2010, a steady movement in the number of publications and authors was observed, with considerable collaborative interaction. In the year 2020, a large interaction between publications and their citations was found. The "Citation Burst" graph identified three references that have experienced the largest "burst" of citations in an evaluated period. Lotka's law described the productivity of authors, finding that most authors have published only one paper, while a smaller number of authors have published two papers. Most authors contributed a small number of articles, while a few authors contributed a large amount of the existing literature. Conclusion: A comprehensive overview of the scientific production related to the use of filtered water in dentistry over a span of 32 years is provided. The results highlight the growing interdisciplinarity and international collaboration in this field. Finally, the importance of filtered water in dentistry and its growing relevance in the scientific literature are emphasized.

A Bibliometric Analysis on Tuberculosis and Diabetes Mellitus 2: Visualization, Patterns, and Trends.

BACKGROUND: The convergence of type 2 diabetes mellitus (DM2) and tuberculosis (TB) may lead to increased mortality and complications, so the underlying mechanism is under investigation. Therefore, a bibliometric analysis was performed to describe the bibliometric indicators of publications evaluating the relationship between TB and DM2. METHODS: A descriptive and observational bibliometric study was conducted using the Scopus database to identify documents published from 2016-2023, for which free and controlled terms (Medical subject headings and Emtree) were used. The variables collected comprised the number of published documents, institutions, countries, authors, journals, and type of collaboration, which were exported to Excel 2016 and analyzed with SciVal. RESULTS: A total of 456 documents, 1624 authors, and 2173 citations were identified, with Medicine and Immunology-Microbiology being the subcategories with the highest and lowest number of documents (367 and 80 documents), respectively, with a strong decreasing trend correlation (R2: 0.95; P < 0.5) between the number and year of publication. While the country with the highest production was China (71 papers), the country with the highest citation was the United States (952 citations). In terms of authors, the highest production was by the American Venketaraman, and the highest impact was by the Asian Kimberly To. The institution with the highest number of papers was the Western University of Health Sciences, while Stellenbosch had the highest impact. CONCLUSION: Although the scientific productivity of DM2 and TB have reported growth rates of 158.75% and 7.3%, respectively, our results found a decreasing trend in publications associating these two diseases. The thematic evolution of the concepts in both diseases suggests that the relationship between them is not yet known, so future studies evaluating the underlying mechanisms of this comorbidity are suggested.

Current trends and spatial-temporal dynamics of veterinary dentistry research: A scientometric study.

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.