基于文献计量的水稻基因组学研究趋势以及热点分析

为了探究国际水稻基因组学研究的发展现状和趋势，以及目前的研究热点，给相关科研人员和决策者提供一定的数据参考。基于Web of Science 数据库，利用文献计量学统计分析方法，对发文量排名前10 位的国家、研究机构、作者、载文期刊、学科以及高被引文献进行统计分析；利用文献题录信息统计分析工具SATI 对高频关键词及核心作者构建可视化知识图谱。结果显示，共检索了68 个国家于1995—2014 年间发表的文献1537 篇，文献数量呈现稳定增长趋势，尤其以中国发文量增长最为明显。发文量排名前5 位的国家分别是美国、中国、日本、印度、法国；其中美国、中国、日本的文献总被引频次也位居全球前三甲。中国科学院、日本国家农业生物科学研究所、加利福尼亚大学戴维斯分校、康奈尔大学、华中农业大学是全球范围内该领域发文量大且文献被引频次较高的研究机构。核心作者统计结果显示，美国、日本、中国的高产活跃作者最多。高被引文献美国有8 篇，中国1 篇。综合结果表明，美国、以及亚洲的中国、日本在水稻基因组学研究领域处于优势地位；研究热点是功能基因组学、比较基因组学。

Trend and Hotspot Analysis of Rice Genomics Based on Bibliometric Analysis

Analyses of status and trends, and hotspots of rice genomics in the world were performed for providing information to rice researchers and decision makers. Based on Science Web database and bibliometrics, top 10 countries, research institutions, authors, journals, disciplines and highly cited articles were analyzed, and SATI were employed to construct the knowledge map. Results showed that, a total of 1537 published articles (1995-2014) from 68 countries were identified, and the number of the published articles showed a stable growth, especially in China. The United States, China, Japan, India and France were the top five countries depending on the number of published papers, among which, the United States, China, Japan also ranked in the world’s top 3 on the basis of total citations. Those research institutes, including Chinese Academy of Science, National Institute of Agrobiological Sciences, University of California (Davis), Cornell University, Huazhong Agricultural University, were main research institutes that featured highly published number and total citations in the research of rice genomics around the world. Results of core authors showed that, there were more core authors in the United States, China, and Japan. From highly cited articles, the United States had 8 articles, and China had 1 article. Therefore, the results proved that the United States, Japan, and China had taken obviously advantages in the research field of rice genomics. The current hotspots in rice genomics was functional genomics and comparative genomics.