爱思唯尔提供信息分析解决方案和数字化工具,包括研究战略管理、研发绩效、临床决策支持、专业教育等。其前身可追溯自16世纪,而现代公司则起于1880年,爱思唯尔出版2500余种期刊,包括《柳叶刀》、《四面体》、《细胞》以及教科书《格雷氏解剖学》等。每年共有350,000篇论文发表在爱思唯尔公司出版的期刊中,以及全世界最大的摘要和引文数据库Scopus等。爱思唯尔(Elsevier)是医学与其他科学文献出版社之一,2016年中国高被引学者榜单的研究数据来自爱思唯尔旗下的Scopus数据库,共有来自社会科学、物理、化学、数学、经济等38个学科的1776名有世界影响力的中国学者入选。学术出版业巨头爱思唯尔(Elsevier)正式发布2017年中国高被引学者(Chinese Most Cited Researchers)榜单,本次国内共有1793位学者入选。

最新内容

Growth of science is a prevalent issue in science of science studies. In recent years, two new bibliographic databases have been introduced which can be used to study growth processes in science from centuries back: Dimensions from Digital Science and Microsoft Academic. In this study, we used publication data from these new databases and added publication data from two established databases (Web of Science from Clarivate Analytics and Scopus from Elsevier) to investigate scientific growth processes from the beginning of the modern science system until today. We estimated regression models that included simultaneously the publication counts from the four databases. The results of the unrestricted growth of science calculations show that the overall growth rate amounts to 4.10% with a doubling time of 17.3 years. As the comparison of various segmented regression models in the current study revealed, the model with five segments fits the publication data best. We demonstrated that these segments with different growth rates can be interpreted very well, since they are related to either phases of economic (e.g., industrialization) and / or political developments (e.g., Second World War). In this study, we additionally analyzed scientific growth in two broad fields (Physical and Technical Sciences as well as Life Sciences) and the relationship of scientific and economic growth in UK. The comparison between the two fields revealed only slight differences. The comparison of the British economic and scientific growth rates showed that the economic growth rate is slightly lower than the scientific growth rate.

0
0
下载
预览

最新论文

Growth of science is a prevalent issue in science of science studies. In recent years, two new bibliographic databases have been introduced which can be used to study growth processes in science from centuries back: Dimensions from Digital Science and Microsoft Academic. In this study, we used publication data from these new databases and added publication data from two established databases (Web of Science from Clarivate Analytics and Scopus from Elsevier) to investigate scientific growth processes from the beginning of the modern science system until today. We estimated regression models that included simultaneously the publication counts from the four databases. The results of the unrestricted growth of science calculations show that the overall growth rate amounts to 4.10% with a doubling time of 17.3 years. As the comparison of various segmented regression models in the current study revealed, the model with five segments fits the publication data best. We demonstrated that these segments with different growth rates can be interpreted very well, since they are related to either phases of economic (e.g., industrialization) and / or political developments (e.g., Second World War). In this study, we additionally analyzed scientific growth in two broad fields (Physical and Technical Sciences as well as Life Sciences) and the relationship of scientific and economic growth in UK. The comparison between the two fields revealed only slight differences. The comparison of the British economic and scientific growth rates showed that the economic growth rate is slightly lower than the scientific growth rate.

0
0
下载
预览
Top