Bibliometric analysis of quantitative genetics research in animal science in the last decade

Year 2023, , 363 - 378, 17.08.2023

Adile Tatlıyer Tunaz

https://doi.org/10.37908/mkutbd.1216763

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.

Keywords

Bibliometrics, Co-citation, R package, Quantitative Genetic

Thanks

The author thanks Prof. Dr. Çiğdem Takma (Ege University) for her significant contributions to this study.

Son on yılda hayvan bilimlerinde kantitatif genetik araştırmalarının bibliyometrik analizi

Abstract

Bu çalışma, Clarivate Analytics’in Web of Science (WoS) ile hayvan biliminde kantitatif genetik alanında yayımlanan makaleleri, tüm disiplinlerde kullanımı giderek artan bibliyometrik yöntemle analiz etmeyi amaçlamaktadır. Araştırma verileri, WoS'tan başlık bazında, 2012-2021 yılları arasında yayınlanmış toplam 1281 çalışmadan oluşmaktadır. Verilere, R yazılımındaki "bibliometrix" işlevi kullanılarak tematik odak, alıntı analizi, ülke üretkenliği, ülke işbirliği, kavramsal yapı, tarihsel olarak doğrudan alıntı ağının kapsamlı bir genel bakışıyla bibliyometrik bir yaklaşım uygulanmıştır. K-means kümeleme ile çoklu uyum analizi (MCA) kantitatif genetikte yapılan çalışmalar kategorileştirilmiştir. KeyWord Plus ile tematik harita üzerinde kümeler oluşturulmuştur. Sonuçlar şu şekildedir: “Journal of Dairy Science” en aktif dergi olmuştur. En çok alıntı yapılan ülkeler ve dolayısıyla en üretken ülkeler Brezilya ve ABD’dir. MCA ile kavramsal yapı haritasında iki ayrı küme oluşmuş olup, genel olarak “süt üretimi” ve “genetik parametreler” üzerinedir. KeyWord Plus analizi ile yayınlarda en çok tercih edilen anahtar kelime “seleksiyon” olmuştur. Araştırmacılar bulgulara dayanarak alanda neler olup bittiğine dair genel bir fikir edinebilir ve hatta bulgular araştırmacıları söz konusu alanda iş birliği yapmaya bile motive ettirebilir. Bu çalışmanın, trend araştırma noktalarını ve alanın gelecekteki yönünü kapsamlı bir genel bakış ile net bir şekilde sunarak araştırmacılara yararlı katkılar sağlanması amaçlanmıştır.

Keywords

Bibliyometri, Ortak alıntı, R paketi, Kantitatif genetik

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