Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases
Lutz Bornmann, Robin Haunschild, Ruediger Mutz

TL;DR
This study models the historical growth of science using data from four major bibliographic databases, revealing segmented growth phases linked to economic and political events, and compares growth in different scientific fields and with economic growth.
Contribution
Introduces a latent piecewise growth curve model combining multiple databases to analyze scientific growth over centuries, identifying distinct growth phases and their relation to historical events.
Findings
Overall scientific growth rate of 4.10% with a 17.3-year doubling time.
Best-fitting model with five growth segments aligned with historical periods.
Slight differences in growth rates between physical/technical sciences and life sciences.
Abstract
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…
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