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Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases
arXiv - CS - Digital Libraries Pub Date : 2020-12-14 , DOI: arxiv-2012.07675
Lutz Bornmann, Ruediger Mutz, Robin Haunschild

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 4.02% with a doubling time of 16.8 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 and the relationship of scientific and economic growth in UK. We focused on this country, since long-time series for publication counts and economic growth indices were available.

中文翻译:

现代科学的增长率:一种潜在的分段增长曲线方法,用于建立和建立新的文献数据库中的出版物数量

科学的发展是科学研究中的一个普遍问题。近年来,引入了两个新的书目数据库,可用于研究几个世纪以来科学的增长过程:Digital Science和Microsoft Academic的维度。在这项研究中,我们使用了来自这些新数据库的出版物数据,并添加了来自两个已建立数据库(Clarivate Analytics的Web of Science和Elsevier的Scopus)的出版物数据,以调查从现代科学体系开始到今天的科学发展过程。我们估计了回归模型,该模型同时包括来自四个数据库的出版物计数。科学计算不受限制地增长的结果表明,总体增长率为4.02%,翻倍时间为16.8年。正如当前研究中各种细分回归模型的比较所揭示的那样,具有五个细分的模型最适合发布数据。我们证明,具有不同增长率的这些细分市场可以很好地解释,因为它们与经济(例如工业化)阶段和/或政治发展(例如第二次世界大战)阶段相关。在这项研究中,我们还分析了英国两个广泛领域的科学增长以及科学与经济增长的关系。由于可以提供出版物数量和经济增长指标的长期序列,因此我们专注于这个国家。因为它们与经济(例如工业化)阶段和/或政治发展(例如第二次世界大战)相关。在这项研究中,我们还分析了英国两个广泛领域的科学增长以及科学与经济增长的关系。由于可以提供出版物数量和经济增长指标的长期序列,因此我们专注于这个国家。因为它们与经济(例如工业化)阶段和/或政治发展(例如第二次世界大战)相关。在这项研究中,我们还分析了英国两个广泛领域的科学增长以及科学与经济增长的关系。由于可以提供出版物数量和经济增长指标的长期序列,因此我们专注于这个国家。
更新日期:2020-12-15
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