A Bibliometric Analysis of Genome-wide Association Study (GWAS) and Sorghum (Sorghum bicolor L) Based on Web of Science Using VOS Viewer

IF 3.4 3区 农林科学 Q2 ENVIRONMENTAL SCIENCES
Muhammad Tanveer Altaf, Waqas Liaqat, Amna Jamil, Muhammad Faheem Jan, Faheem Shehzad Baloch, Heba I. Mohamed
{"title":"A Bibliometric Analysis of Genome-wide Association Study (GWAS) and Sorghum (Sorghum bicolor L) Based on Web of Science Using VOS Viewer","authors":"Muhammad Tanveer Altaf, Waqas Liaqat, Amna Jamil, Muhammad Faheem Jan, Faheem Shehzad Baloch, Heba I. Mohamed","doi":"10.1007/s42729-024-01888-6","DOIUrl":null,"url":null,"abstract":"<p>The basic principle of GWAS is to integrate genotype and phenotype data through general linear models or mixed linear models (MLM). Genome-wide association study (GWAS) is an efficient method to discover genomic regions associated with traits of interest and has been successfully implemented in various crops, including sorghum. Bibliometric analysis is a method that quantitatively evaluates scientific research by measuring the knowledge conveyed through scientific publications within a specific field. A total of 227 scholarly articles on sorghum and genome-wide association studies (GWAS) were examined within the Web of Science database, spanning the years 2000 to 2022. All of the articles, written by 1117 authors from 27 publishers, 347 institutes, and 48 countries and published in 91 journals, were written in English. The five most prominent journals in the field were identified as Theoretical and Applied Genetics (8.37%), G3 Genes Genomes Genetics (7.04%), Frontiers in Plant Science (6.60%), Plant Genome (6.60%), and Plant Physiology (4.40%), with each having published more than 10 papers. The five countries that ranked highest in terms of paper publications were the United States, the People's Republic of China, India, Australia, and Germany. According to the available data, the leading publishers in the field were Springer Nature, Wiley, Oxford University Press, Frontiers Media SA, and MDPI. The authors, who have published the highest number of papers, exceeding twelve in quantity, are Morris GP, Kresovich S, Hu ZB, Perumal R, and Upadhyaya HD. The set of keywords was partitioned into six distinct clusters, each corresponding to a unique area of the research query. Visualizations provide a means of exploring the current state of a scientific field or discipline and can also suggest potential future directions. The identification of primary research concepts and areas in this study may prove beneficial for forthcoming research endeavors and policy-making processes concerning the enhancement of sorghum.</p>","PeriodicalId":17042,"journal":{"name":"Journal of Soil Science and Plant Nutrition","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Soil Science and Plant Nutrition","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s42729-024-01888-6","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The basic principle of GWAS is to integrate genotype and phenotype data through general linear models or mixed linear models (MLM). Genome-wide association study (GWAS) is an efficient method to discover genomic regions associated with traits of interest and has been successfully implemented in various crops, including sorghum. Bibliometric analysis is a method that quantitatively evaluates scientific research by measuring the knowledge conveyed through scientific publications within a specific field. A total of 227 scholarly articles on sorghum and genome-wide association studies (GWAS) were examined within the Web of Science database, spanning the years 2000 to 2022. All of the articles, written by 1117 authors from 27 publishers, 347 institutes, and 48 countries and published in 91 journals, were written in English. The five most prominent journals in the field were identified as Theoretical and Applied Genetics (8.37%), G3 Genes Genomes Genetics (7.04%), Frontiers in Plant Science (6.60%), Plant Genome (6.60%), and Plant Physiology (4.40%), with each having published more than 10 papers. The five countries that ranked highest in terms of paper publications were the United States, the People's Republic of China, India, Australia, and Germany. According to the available data, the leading publishers in the field were Springer Nature, Wiley, Oxford University Press, Frontiers Media SA, and MDPI. The authors, who have published the highest number of papers, exceeding twelve in quantity, are Morris GP, Kresovich S, Hu ZB, Perumal R, and Upadhyaya HD. The set of keywords was partitioned into six distinct clusters, each corresponding to a unique area of the research query. Visualizations provide a means of exploring the current state of a scientific field or discipline and can also suggest potential future directions. The identification of primary research concepts and areas in this study may prove beneficial for forthcoming research endeavors and policy-making processes concerning the enhancement of sorghum.

Abstract Image

使用 VOS 浏览器对基于科学网的全基因组关联研究 (GWAS) 和高粱(Sorghum bicolor L)进行文献计量分析
全基因组关联研究(GWAS)的基本原理是通过一般线性模型或混合线性模型(MLM)整合基因型和表型数据。全基因组关联研究(GWAS)是发现与相关性状相关的基因组区域的有效方法,已成功应用于包括高粱在内的多种作物。文献计量分析是一种定量评估科学研究的方法,通过衡量特定领域内科学出版物所传递的知识来进行。我们在 Web of Science 数据库中研究了 2000 年至 2022 年期间有关高粱和全基因组关联研究(GWAS)的 227 篇学术文章。所有文章均由来自 27 家出版商、347 个研究所和 48 个国家的 1117 位作者撰写,发表在 91 种期刊上,均以英文撰写。该领域最著名的五种期刊是《理论与应用遗传学》(8.37%)、《G3 基因组遗传学》(7.04%)、《植物科学前沿》(6.60%)、《植物基因组》(6.60%)和《植物生理学》(4.40%),每种期刊都发表了 10 篇以上的论文。论文发表量最高的五个国家分别是美国、中华人民共和国、印度、澳大利亚和德国。根据现有数据,该领域的主要出版商是 Springer Nature、Wiley、牛津大学出版社、Frontiers Media SA 和 MDPI。发表论文数量最多(超过 12 篇)的作者是 Morris GP、Kresovich S、Hu ZB、Perumal R 和 Upadhyaya HD。关键词集被划分为六个不同的群组,每个群组对应一个独特的研究查询领域。可视化提供了一种探索科学领域或学科现状的方法,还可以提出潜在的未来方向。本研究中对主要研究概念和领域的识别可能会对今后有关高粱增产的研究工作和政策制定过程有所裨益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Soil Science and Plant Nutrition
Journal of Soil Science and Plant Nutrition Agricultural and Biological Sciences-Soil Science
CiteScore
5.90
自引率
10.30%
发文量
331
审稿时长
9 months
期刊介绍: The Journal of Soil Science and Plant Nutrition is an international, peer reviewed journal devoted to publishing original research findings in the areas of soil science, plant nutrition, agriculture and environmental science. Soil sciences submissions may cover physics, chemistry, biology, microbiology, mineralogy, ecology, pedology, soil classification and amelioration. Plant nutrition and agriculture submissions may include plant production, physiology and metabolism of plants, plant ecology, diversity and sustainability of agricultural systems, organic and inorganic fertilization in relation to their impact on yields, quality of plants and ecological systems, and agroecosystems studies. Submissions covering soil degradation, environmental pollution, nature conservation, and environmental protection are also welcome. The journal considers for publication original research articles, technical notes, short communication, and reviews (both voluntary and by invitation), and letters to the editor.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信