返回 
加入收藏
代谢组学研究的文献计量分析
x
请在关注微信后，向客服人员索取文件
| 篇名： | 代谢组学研究的文献计量分析 |
| TITLE： | |
| 摘要： | 目的：了解国内外代谢组学的研究现状，初步探讨其研究热点及发展规律。方法：采用文献计量方法，借助GoPubMed文献分析工具，以“Metabolomics”为主题词，检索PubMed数据库截至2016年7月31日的所有文献，对相关文献按发文量、国家和城市、期刊来源、研究主题、核心作者和作者合作网络等信息进行排名并分析。以“Metabolomics”“Metabonomics”为主题词，检索Web of Science数据库截至2016年8月1日的所有文献，利用其被引频次排序功能，分析2007－2016年被引频次较高的文献。结果：共检索得到国内外代谢组学相关文献15 449篇，其中我国研究者发表2 189篇，发文量总体均呈上升趋势。15 449篇文献分布于全球129个国家和地区，美国、中国、英国、德国等10个国家为核心发文国家，发文总量为12 847篇（占83.16％）；发文量最多的国家是美国（4 288篇，占27.76％），其次为中国（2 189篇，占14.17％）；发文量最多的城市是伦敦（467篇），上海和北京分列第2、3位。文献共涉及期刊2 168种，刊均载文量为7.1篇；发文量最多的20种期刊均来自于欧美国家（4 377篇，占28.33％）。出现频次最高的前3个主题词分别为代谢组学、代谢组和代谢，相关研究主要集中在代谢过程、代谢通路、生物标志物、蛋白质组和基因组等方面，研究方法主要包括质谱法和磁共振波谱法。主要涉及6个作者群，以Nicholoson JK、Holmes E、Lindon JC等研究者为主；核心作者及作者群中未见我国研究者。高被引文献主要涉及代谢与疾病的相关性、代谢组学数据库简介、代谢组学研究方法及与疾病预测有关的生物标志物等内容。结论：代谢组学引起了世界范围内研究者的广泛兴趣，其中代谢通路和生物标志物是该领域的研究热点之一。我国研究者在代谢组学方面的总发文量较多，但缺乏高质量的期刊载体，且研究者之间的合作较少。我国应鼓励各研究机构间的交流合作，紧紧把握该领域研究的前沿与热点，促进我国代谢组学研究的多元化和深层次化。 |
| ABSTRACT： | OBJECTIVE： To investigate the present situation of domestic and foreign metabolomics study， and to preliminarily discuss research hotspots and development rules. METHODS： By using bibliometric methods and GoPubMed literature analysis tool， using “Metabolomics” as subject， all literatures were retrieved from PubMed database up to Jul. 31， 2016. Those literatures were ranked and analyzed in respects of publication amount， countries and cities， journal sources， research topics， core authors and authors collaborative networks. Using “Metabolomics” “Metabonomics” as subjects， all literatures were retrieved from Web of Science database up to Aug. 1， 2016. The literatures with high citation frequency were analyzed during 2007-2016 by using the sorting function of citation frequency. RESULTS： A total of 15 449 domestic and foreign metabolomics literatures were retrieved. The researchers of 2 189 literatures came from China， and the amount of published literatures showed a rising trend. 15 449 literatures were distributed in 129 countries and regions； 10 countries， such as the United States， China， Britain and Germany， were the core countries， and the total number of literatures issued was 12 847 （83.16％）. The United States held the largest share of world publications （4 288 literatures， 27.76％）， and the following was China in order （2 189 literatures， 14.17％）. The city with the largest amount of publications was London （467 literatures）， followed by Shanghai， Beijing. A total of 2 168 periodicals were involved， and there were 7.1 published literatures averagely. All of the top 20 periodicals were from the United States and European countries （4 377 literatures， 28.33％）. The first 3 subjects with the highest frequency of occurrence were metabolomics， metabolome and metabolism； related researches mainly focused on metabolic processes， metabolic networks and pathways， biological markers， proteome and genome； main research methods included spectrum analysis and magnetic resonance spectroscopy. Main 6 groups of authors were involved， mainly Nicholoson JK， Holmes E， Lindon J and other researchers. None of Chinese researchers had been found among the core authors and author groups. The literatures with high citation frequency mainly focused on the association of metabolism with disease， metabolomics database， metabolomics research methods and biological markers related to disease prediction. CONCLUSIONS： Metabolomics has aroused worldwide interest among researchers， and metabolic pathways and biological markers are the focuses in this field. Our researchers have published a large amount of literatures on metabolomics， but there are not high quality periodical carrier or enough cooperation between researchers. It is suggested to enhance the cooperation between various research institutions or grasp the frontier and hotspots of the research in this field so as to push forward the development diversification and depth of metabolomics research in China. |
| 期刊： | 2017年第28卷第23期 |
| 作者： | 李颖，王祁民，李倩，李宵，吴茵，安静，董占军 |
| AUTHORS： | LI Ying，WANG Qimin，LI Qian，LI Xiao，WU Yin，AN Jing，DONG Zhanjun |
| 关键字： | 代谢组学；PubMed；Web of Science；文献计量；被引频次 |
| KEYWORDS： | Metabolomics； PubMed； Web of Science； Bibliometrics； Citation frequency |
| 阅读数： | 337 次 |
| 本月下载数： | 6 次 |
* 注：未经本站明确许可，任何网站不得非法盗链资源下载连接及抄袭本站原创内容资源!在此感谢您的支持与合作！
