[1]唐惠燕,倪峰,李小涛,等.基于Scopus的植物表型组学研究进展分析[J].南京农业大学学报,2018,41(6):1133-1141.[doi:10.7685/jnau.201809016]
 TANG Huiyan,NI Feng,LI Xiaotao,et al.Analysis of the advance in plant phenomics research based on Scopus tools[J].Journal of Nanjing Agricultural University,2018,41(6):1133-1141.[doi:10.7685/jnau.201809016]
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基于Scopus的植物表型组学研究进展分析()
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《南京农业大学学报》[ISSN:1000-2030/CN:32-1148/S]

卷:
41卷
期数:
2018年6期
页码:
1133-1141
栏目:
出版日期:
2018-11-25

文章信息/Info

Title:
Analysis of the advance in plant phenomics research based on Scopus tools
作者:
唐惠燕1 倪峰1 李小涛3 陈蓉蓉1 袁曦临4 朱艳2 周济56 丁艳锋2
1. 南京农业大学图书馆, 江苏 南京 210095;
2. 南京农业大学植物表型组学研究中心, 江苏 南京 210095;
3. 南京航空航天大学图书馆, 江苏 南京 211106;
4. 东南大学图书馆, 江苏 南京 210096;
5. Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK;
6. University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
Author(s):
TANG Huiyan1 NI Feng1 LI Xiaotao3 CHEN Rongrong1 YUAN Xilin4 ZHU Yan2 ZHOU Ji56 DING Yanfeng2
1. Library of Nanjing Agricultural University, Nanjing 210095, China;
2. Plant Phenomics Research Center, Nanjing Agricultural University, Nanjing 210095, China;
3. Library of Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
4. Library of Southeast University, Nanjing 210096, China;
5. Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK;
6. University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
关键词:
植物表型组学文献计量学Scopes可视化主题显著度CiteSpace
Keywords:
plant phenomicsbibliometricsScopusvisualizationtopic prominence indexCiteSpace
分类号:
G353.1;S501
DOI:
10.7685/jnau.201809016
文献标志码:
A
摘要:
[目的]文献计量方法可以用于反映和预测科学技术发展的历史和趋势。本文基于科学大数据的计量方法探讨植物表型组学的研究现状,为植物表型组学的发展提供参考。[方法]基于Scopus数据库,分析2013年—2018年9月数据库中植物表型组学及其相关学术产出的文献数量、引用次数、合作单位、研究方向、学术机构和科研团队等信息,利用SciVal和CiteSpace 5.0等统计分析工具,运用可视化数据方法,分析植物表型组学研究领域的发展特点和趋势。[结果]基于Scopus共检索到与植物表型组学研究和应用相关的文献共20 953篇,总被引数217 105,TOP1%高被引论文为2.0%。相关学术产出总被引量TOP10的国家是美国、中国、德国、英国、法国、日本、澳大利亚、西班牙、加拿大和荷兰。相关论文被引总量TOP10的机构分别是中国科学院、法国国家农业研究院、美国农业部、法国国家科学研究院、中国农业科学院、美国康奈尔大学、西班牙高等科学研究委员会、美国加州大学戴维斯分校、法国巴黎萨克莱大学、荷兰瓦赫宁根大学。学术产出最多的学者是德国克斯·普朗克分子植物生理研究所的Alisdair Robert Fernie,共发表58篇植物细胞表型论文,被引1 246次。目前植物表型组学研究的植物种类较少,主要包括拟南芥、水稻、小麦、玉米、番茄和大豆。[结论]作为一个新兴的研究方向,植物表型组学体现出作物栽培、育种、生物学与计算机科学等多学科交叉发展的特性。高通量图像及相关数据分析是现阶段植物表型组学的重要研究方向,主题显著度指数达到98.8%,受关注度极高。
Abstract:
[Objectives] Bibliometric analyses are capable of demonstrating the history and the tendency of scientific and technological development. This article aims to use big scientific data to explore the present status of plant phenomics, based on which sound recommendations could be provided for the development of this emerging research domain. [Methods] Based on academic outputs such as research publications, citations, collaborations, research areas, academic organizations, and authors retrieved from the Scopus database between 2013 and September 2018, statistical analysis tools such as SciVal and CiteSpace 5.0 were applied to quantitatively visualize the development and tendency of plant phenotyping, plant phenomics, and related research areas. [Results] This Scopus-based research has retrieved 20 953 articles that are related to plant phenotyping, plant phenomics, and related applications in plant research, with a total citation of 217 105 and 2.0% of them are TOP1% highly cited papers. According to total citations, the TOP10 countries are the United States, China, Germany, the United Kingdom, France, Japan, Australia, Spain, Canada, and the Netherlands. The TOP10 research organizations based on total citations are Chinese Academy of Sciences (CAS), Institut National de la Recherche Agronomique (INRA), the US Department of Agriculture, Centre National de la Recherche Scientifique (CNRS), Chinese Academy of Agricultural Sciences, Cornell University, Spanish National Research Council, University of California at Davis, Universite Paris-Sacly, and Wageningen University & Research. The scholar with the most academic outputs is Alisdair Robert Fernie at the Koch Planck Institute of Molecular Plant Physiology, Germany. He has published 58 papers using plant cellular phenotypes and was cited 1 246 times. At present, plant phenomics research has focused on a number of plant species, including Arabidopsis, rice, wheat, corn, tomato and soybean. [Conclusion] As an emerging research domain, plant phenomics requires interdisciplinary efforts to integrate agriculture, cultivation, breeding, and other plant biological research with computing sciences. In particular, high-throughput image analysis and related data analysis has become an important research theme at the present stage, with the topical saliency index reaches 98.8%, a very high relevance score.

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备注/Memo

备注/Memo:
收稿日期:2018-09-10。
基金项目:江苏省创新能力建设计划项目(BM2018001);江苏省高校哲学社会科学研究重点项目(ZDIXM018)
作者简介:唐惠燕,副研究馆员,研究方向为学科分析、图书馆管理,E-mail:hytang@njau.edu.cn。
通信作者:丁艳锋,教授,研究方向为植物表型组学、作物栽培学,E-mail:dingyf@njau.edu.cn;周济,教授,研究方向为植物表型组学、机器学习、图像分析、小麦育种,E-mail:ji.zhou@njau.edu.cn,ji.zhou@earlham.ac.uk。
更新日期/Last Update: 2018-11-23