全球科学主题谱系的拓扑结构：一种基于国家层面的宏观方法
Worldwide topology of the scientific subject profile: a macro approach on the country level
AI总结：
本文通过主成分分析和多维标度方法，将世界各国分为生物医学、基础科学与工程及农业三大科学主题聚类，揭示全球科学主题的宏观分布特征。
摘要：
知识生产模型和创新与科学系统是表征国家科学主题谱系的关键要素。就科学产出和在国际期刊上的发表而言，世界各国可能根据其主题倾向分为三个主要群体。本文旨在将世界各国分为几个广泛的群体，用试图总结其知识系统和创新特征的行为模型来描述。我们的分析中发现三个聚类：1）生物医学聚类，2）基础科学与工程聚类，3）农业聚类。国家通过主成分分析（PCA）与聚类概念性关联，并展示了包含所有国家的多维标度（MDS）图。
英文摘要：
Models for the production of knowledge and systems of innovation and science are key elements for characterizing a country in view of its scientific thematic profile. With regard to scientific output and publication in journals of international visibility, the countries of the world may be classified into three main groups according to their thematic bias. This paper aims to classify the countries of the world in several broad groups, described in terms of behavioural models that attempt to sum up the characteristics of their systems of knowledge and innovation. We perceive three clusters in our analysis: 1) the biomedical cluster, 2) the basic science & engineering cluster, and 3) the agricultural cluster. The countries are conceptually associated with the clusters via Principal Component Analysis (PCA), and a Multidimensional Scaling (MDS) map with all the countries is presented.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
