Scientometric analysis of phosphorus research in eutrophic lakes

doi:10.1007/s11192-014-1500-7

CORC > 北京大学 > 环境科学与工程学院

	Scientometric analysis of phosphorus research in eutrophic lakes
	Gao, Wei ; Chen, Yan ; Liu, Yong ; Guo, Huai-cheng
刊名	scientometrics
	2015
关键词	Eutrophication Nutrient Nitrogen Phosphorus Lake Water quality SCIENCE-CITATION-INDEX BIBLIOMETRIC ANALYSIS H-INDEX NITROGEN ECOSYSTEMS OUTPUT TREND
DOI	10.1007/s11192-014-1500-7
英文摘要	Eutrophication has become a top environmental issue for most lake ecosystems in the world and enhanced phosphorus (P) input is usually considered the primary stressor. Focused on the role of phosphorus in eutrophic lakes, a bibliometric approach was applied to quantitatively evaluate the main interests of research and trends in this area. Using data from the Science Citation Index Expanded database between 1900 and 2013, a total of 3,875 publications was returned by searching topic keywords. Spatial, temporal, and interactive characteristics of the articles, countries, and keywords are presented using time series, frequency, and co-occurrence analysis. Result shows that the annual publications on P in eutrophic lakes keep an exponential growth (R (2) = 0.93; p < 0.0001) over the last two decades, reflecting an increasing attraction in this area. However, publications of phosphorus research make up only 40 % of total records in eutrophic lakes, indicating that there are other significant topics in eutrophication problems of lakes. The USA is the largest output country in this area, contributing 23 % of the total articles, followed by China with a proportion of 15 %. However. China has replaced the USA as the largest output country in the world since 2011, but its citation per paper is significantly lower than the USA, indicating its' favor on quantity over quality. Based on international cooperation analysis, five regional groups were found, and the USA, the UK, P.R. China, Sweden, and German are the centers of their groups. The top 20 title keywords, author keywords and keywords plus were identified according to their frequency to assist our understanding of interests of research and modes. Surprisingly, nitrogen is a high co-occurrence keyword in this study, and its share of publications with P research in eutrophic lakes is increasing rapidly. Furthermore, the high correlation between P and N research in spatial distribution also indicates the increasing significance of N research in eutrophic lakes.; Computer Science, Interdisciplinary Applications; Information Science & Library Science; SCI(E); SSCI; 0; ARTICLE; ghjkzx@pku.edu.cn; 3; 1951-1964; 102
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/206326]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Gao, Wei,Chen, Yan,Liu, Yong,et al. Scientometric analysis of phosphorus research in eutrophic lakes[J]. scientometrics,2015.
APA	Gao, Wei,Chen, Yan,Liu, Yong,&Guo, Huai-cheng.(2015).Scientometric analysis of phosphorus research in eutrophic lakes.scientometrics.
MLA	Gao, Wei,et al."Scientometric analysis of phosphorus research in eutrophic lakes".scientometrics (2015).