棉花卷曲病研究文献计量学分析。

Ayyaz Khan, Darya Khan, Fazal Akbar
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引用次数: 15

摘要

棉花卷叶病(CLCuD)是由双病毒科(Begomovirus属)病毒引起的一种严重危害棉花生产的疾病。本研究的目的是利用文献计量学分析来描述和量化全球CLCuD研究的科学产出。使用PubMed、Google Scholar和Scopus搜索引擎提取1901年至2017年7月的可用数据。共确定了854份与clud相关的已发表文件。绝大多数文献以原创研究论文的形式发表(644篇,75.4%),以英语为主要发表语言(807篇,94%)。结果表明:1991 - 2017年,CLCuD研究总体呈上升趋势,2013年论文发表数量最多。就这一主题的绝对研究产出(出版物数量)而言,排名前10位的国家是巴基斯坦(217;25.40%),印度(161;18.85%),美利坚合众国(USA;122;14.85%),中国(85%;9.95%),英国(57%;6.67%),苏丹(31;3.62%),以色列(14%;1.63%),西班牙(13%;1.52%),澳大利亚(11;1.28%),沙特阿拉伯(9;1.05%)和伊朗(9;1.05%)。巴基斯坦最重要的合作伙伴是美国,其次是中国。值得注意的是,这里列出的论文中没有一篇是印度和巴基斯坦之间科学合作的结果。所有出版物的总被引次数为3174次,平均被引次数为3.71次。所有与CLCuD相关的提取数据的h指数为91。h指数最高的国家是巴基斯坦(54),其次是英国(43)、美国(41)和印度(39)。位于费萨拉巴德的国家生物技术与基因工程研究所(NIBGE)在最具生产力的10所研究所中排名第一。文献计量分析强调了巴基斯坦、印度和美国在CLCuD研究中的主导作用,并指出巴基斯坦和印度之间合作的启动可能对研究成果和进展产生重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Bibliometric analysis of publications on research into cotton leaf curl disease.

Cotton leaf curl disease (CLCuD), caused by viruses of the family Geminiviridae (genus Begomovirus), is of great concern for cotton production worldwide. The aim of the study was to characterize and quantify the worldwide scientific output of CLCuD research using bibliometric analysis. PubMed, Google Scholar and Scopus search engines were used to extract available data from 1901 to July 2017. A total of 854 CLCuD-related published documents were identified. Most of the documents were published in the form of original research articles (644, 75.4 %) and English was the main language of publication (807, 94 %). The results demonstrate that the study of CLCuD exhibits an overall increasing trend from 1991 to 2017, with the highest number of articles published in 2013. The top 10 countries in terms of absolute research output (number of publications) on this subject were Pakistan (217; 25.40%), India (161; 18.85%), the United States of America (USA; 122; 14.85%), China (85; 9.95%), United Kingdom (57; 6.67%), Sudan (31; 3.62%), Israel (14; 1.63%), Spain (13; 1.52%), Australia (11; 1.28%), Saudi Arabia (9; 1.05%) and Iran (9; 1.05%). Pakistan's most important collaborator was United States of America, followed by China. Noteworthy, not one of the papers listed here was the result of scientific collaboration between India and Pakistan. The total number of citations for all the publications was 3174, with an average of 3.71 citations per publication. The h-index for all extracted data related to CLCuD was 91. The top h-index was achieved by Pakistan (54) followed by the United Kingdom (43), the USA (41) and India (39). The National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, ranked the first in the top 10 list of the most productive institutes. This bibliometric analysis highlights the leading role of Pakistan, India and the USA in research on CLCuD and points out that the initiation of a collaboration between Pakistan and India may have a significant impact on the research output and progress.

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