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Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration
Although the computer science community successfully harnessed exponenti...
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Spatial organisation of French research from the scholarly publication standpoint (1999-2017): Long-standing dynamics and policy-induced disorder
In social processes, long-term trends can be influenced or disrupted by ...
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Data Mining in Scientometrics: usage analysis for academic publications
We perform a statistical analysis of scientific-publication data with a ...
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Trends in Russian research output indexed in Scopus and Web of Science
Trends are analysed in the annual number of documents published by Russi...
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Quantifying the Cognitive Extent of Science
While the modern science is characterized by an exponential growth in sc...
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The polarizing impact of numeracy, economic literacy, and science literacy on attitudes toward immigration
Political orientation polarizes the attitudes of more educated individua...
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Reassembling the English novel, 1789-1919
Sociologically-inclined literary history foundered in the 20th century d...
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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
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 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.
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