ÇOKLU-OMİK VERİLER İÇİN BİRLEŞTİRME YÖNTEMLERİ: BİBLİYOMETRİK BİR ANALİZ

Year 2025, Volume: 34 Issue: 2, 274 - 284, 15.08.2025

Ahu Cephe

https://doi.org/10.34108/eujhs.1585598

Abstract

Bu çalışmanın temel amacı, görsel haritalama tekniklerini kullanarak Web of Science veritabanında 2013-2023 yılları arasında çoklu-omik yayınların bibliyometrik analizini yapmaktır. İncelenen dönemdeki yayınların eğilimleri göstermek için Biblioshiny ve VOSviewer yazılımları kullanılarak ağ haritaları oluşturuldu. 298 dergiden 714 makalenin kapsamlı bir incelemesi, çoklu-omik alanındaki entelektüel yapıyı ve oluşan eğilimleri ortaya çıkarmayı amaçladı. Bu amaçla, ülke, kurum, kaynak, yazar ve anahtar kelime üretkenliği için ortak-yazarlık, bibliyografik bağlantı ve eş-dizimlilik analizleri yapıldı. Çalışma süresince, Çin çoklu-omik yayınlara önde gelen katkıda bulunan ülke olarak ortaya çıkarken, ABD en fazla çoklu-omik yayını atıf sayısına ulaştı. Yazarın anahtar kelimelerinde en sık görülen terimler "çoklu-omik", "veri entegrasyonu" ve "metabolomik" olarak belirlendi. Çalışma ayrıca "Biyoinformatik Brifingleri" dergisini hem en ilgili kaynak hem de en çok atıf yapılan kaynak olarak belirledi. Zamansal analiz, 2013'dan 2022' ye kadar yayınlarda kayda değer bir artış olduğunu gösterdi. Bu gözlem, belirtilen dönemde çoklu-omik alanında ilgi ve araştırma faaliyetlerinde önemli bir artış olduğunu gösteriyor.

Keywords

Bibliyometrik analiz , ortak yazarlık , veri entegrasyonu , gen ifadesi , çoklu-omikler

INTEGRATION METHODS FOR MULTI-OMICS DATA: A BIBLIOMETRIC ANALYSIS

Abstract

The primary objective of this study is to conduct a bibliometric analysis of multi-omics publications from 2013 to 2023 in the Web of Science database, utilizing visual mapping techniques. Network maps were generated using Biblioshiny and VOS viewer software to illustrate the published trends over the investigated period. A comprehensive examination of 714 articles from 298 journals aimed to unveil the intellectual structure and emerging trends in the multi-omics field. For this purpose, co-authorship, bibliographic coupling, and co-occurrence analyses were conducted for country, institution, source, author, and keyword productivity. During the study period, China emerged as the leading contributor to multi-omics publications, while the USA secured the highest number of multi-omics citations. The most frequently occurring terms in the author's keywords were identified as "multi-omics," "data-integration," and "metabolomics." The study also determined "Bioinformatics Briefings" as both the most relevant source and the most cited. Temporal analysis indicated a noteworthy increase in publications from 2013 to 2022. This observation suggests a significant rise in interest and research activity in the multi-omics field during the specified period.

Keywords

Bibliometric analysis , co-authorship , data integration , gene expression , multi-omics.

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