Son on yılda hayvan bilimlerinde kantitatif genetik araştırmalarının bibliyometrik analizi

Abstract

This study aimed to analyse the articles published with Clarivate Analytics’ Web of Science (WoS) in quantitative genetics in animal science with the bibliometric method, which can be used in all disciplines. The research data consists of a total of 1281 studies published between 2012-2021, title-based from WoS. A bibliometric approach was applied to the data with a comprehensive overview of thematic focus, citation analysis, country productivity, country collaboration, conceptual structure, historically direct citation network using the "bibliometrix" function in R software. Studies were categorized using K-means clustering and multiple concordance analysis (MCA). Clusters were created on the thematic map with KeyWord Plus. The results were as follows: the Journal of Dairy science was the most active journal. The most cited countries and hence the most productive countries were Brazil and the USA. The most preferred keyword in publications was “selection”. Two separate clusters were formed in the conceptual structure map, generally on "milk production" and "genetic parameters". With the KeyWord Plus analysis, the most preferred keyword in the publications was "selection". Researchers can gain a general sense of what's going on in the field based on the findings, and also the findings may even motivate researchers to collaborate in the field. It is thought that this study can present useful contributions to researchers by clearly presenting trend research hotspots and the future direction of the field with a comprehensive overview.