Evidence and consequences of academic drift in the field of dental research: A bibliometric analysis 2000-2015

Bibliometric Analysis of Context, Trends, and Contents of Digital Health Technology Used in Dental Health

Digital tools and apps are revolutionizing healthcare and provide creative answers to urgent problems. Through teamwork and the incorporation of digital technologies, dentistry has experienced a remarkable revolution. A large body of scholarly research backs up this trend. The context, trends, and content of digital health technology in oral and dental health are examined in our bibliometric analysis. Using targeted keywords and synonyms, an organized searching technique was used in the Scopus database, yielding 1942 articles that were extracted into a CSV file. To acquire insights into the content, trends, and context, visualization using VOSviewer 1.6.18 and a variety of analyses-including coauthorship, citation, cooccurrence of author keywords, bibliographic coupling, and cocitation-were executed. The analysis revealed that the USA and the UK contributed to a significant quantity of the literature, with newer contributions coming from nations like India. Cone Beam Computed Tomography, Dental Caries, and Artificial Intelligence were prominent keywords. It is important to note that BMC Oral Health was associated with a sizable number of the papers. This bibliometric analysis provides insightful information about the context, content, and trends of digital health in the field of oral and dental health. By implementing the right technology, policymakers can use this information to increase oral health, encourage dental literacy, and improve access to dental treatment. It is vital to take into account the wide variety of technologies and their classifications based on dental services and contextual variables.

Global Maps of Avian Leukosis Viruses: Research Trends and Themes Based on Networking

Avian leukosis virus (ALV) has a tremendous adverse impact on the poultry industry. Since its discovery, research on different aspects of ALV have been published. Due to the vast academic emphasis and economic importance of the ALV infection in poultry worldwide, this bibliometric analysis explored the scientific output associated with ALV utilizing the Web of Science (Core Collection) database. The relevant data were collected using the search query "AVIAN LEUKOSIS VIRUS", further refined by document types (article, book chapter, and proceedings paper). Finally, 1060 items with full records were imported in Plaintext and tab-delimited formats. The data analysis was carried out using MS Excel, VOS viewer, and R (Biblioshiny) software. Chinese and American research institutions produced the majority of papers during study time period. The Journal of Virology and Avian Diseases appeared as the favorite journal/source for publications. Apart from the avian leukosis virus and the ALV-J, the important keywords mentioned included avian leukosis virus subgroup j, chicken, and retrovirus. The analysis revealed substantial findings on ALV research, with a strong research response from the USA and China.

A bibliometric analysis of Library Review trends

Purpose

This paper aims to identify and understand changing research themes within this field and apply a novel technique for text mining.

Design/methodology/approach

Statistical text mining methods are applied as an approach to bibliographic analysis to nearly 30 years of papers published in Library Review and Global Knowledge, Memory and Communication to identify key research themes and analyse how they have evolved over this period.

Findings

Key stable research themes include students, literacy, learning, research, while emerging research themes include social media, networking and knowledge sharing through information and communication technology.

Originality/value

A novel approach to bibliometric analysis is applied to a large collection of texts published in the library field.