Abstract:The authors utilize the index of the Catalogue of Scientific Papers of the Royal Society of London dealing with the physics journal literature of the 19th century. Graphs of the publication activity of the entire 19th-century physics and of about 50 of its most important subareas are displayed; both the number of active contributors in each area, the number of papers and its share of publications of the entire 19th century physics are exhibited. Typical scientometric regularities such as "Lotka's law" (with re… Show more
“…Seventy‐five years ago, Lotka (1926) discovered that the distribution of publications across authors in chemistry was described by the following relationship, where f ( n ) is the fraction of authors having n publications and A is a constant. Since then, numerous other studies have found the same relationship for many fields (Narin & Breitzman, 1995; Pao, 1986; Shockley, 1957; Wagner‐Dobler & Berg, 1999). The findings are so ubiquitous that it has become known as Lotka's Law.…”
In this paper, we develop a new model for a process that generates Lotka's Law. We show that four relatively mild assumptions create a process that fits five different informetric distributions: rate of production, career duration, randomness, and Poisson distribution over time, as well as Lotka's Law. By simulation, we obtain good fits to three empirical samples that exhibit the extreme range of the observed parameters. The overall error is 7% or less. An advantage of this model is that the parameters can be linked to observable human factors. That is, the model is not merely descriptive, but also provides insight into the causes of differences between samples. Furthermore, the differences can be tested with powerful statistical tools.
“…Seventy‐five years ago, Lotka (1926) discovered that the distribution of publications across authors in chemistry was described by the following relationship, where f ( n ) is the fraction of authors having n publications and A is a constant. Since then, numerous other studies have found the same relationship for many fields (Narin & Breitzman, 1995; Pao, 1986; Shockley, 1957; Wagner‐Dobler & Berg, 1999). The findings are so ubiquitous that it has become known as Lotka's Law.…”
In this paper, we develop a new model for a process that generates Lotka's Law. We show that four relatively mild assumptions create a process that fits five different informetric distributions: rate of production, career duration, randomness, and Poisson distribution over time, as well as Lotka's Law. By simulation, we obtain good fits to three empirical samples that exhibit the extreme range of the observed parameters. The overall error is 7% or less. An advantage of this model is that the parameters can be linked to observable human factors. That is, the model is not merely descriptive, but also provides insight into the causes of differences between samples. Furthermore, the differences can be tested with powerful statistical tools.
“…As can be seen, larger values of a/b require larger critical values for N. Also, the model predicts that, since the natural logarithm of N plays a role in the value of Dz, disproportionate increases of N are required to maintain the same levels of scientific growth once N gets substantially large. Quantitative studies that link the size of the scientific community and scientific discovery in diverse disciplines are in line with this prediction, including genetics (Glass 1979) and physics (Wägner-Dobler and Berg 1999). In this latter study, one can see, for example, a concurrence between a steep increase in the number of authors working on electricity and magnetism in the mid nineteenth century with important discoveries in that field, such as Maxwell's unification of electricity, magnetism and light into a single theory of the electromagnetic field in the 1860s (Wägner-Dobler and Berg 1999, p. 256).…”
Section: The Cultural Transmission Of Scientific Knowledge: a Modelmentioning
Our ability for scientific reasoning is a byproduct of cognitive faculties that evolved in response to problems related to survival and reproduction. Does this observation increase the epistemic standing of science, or should we treat scientific knowledge with suspicion? The conclusions one draws from applying evolutionary theory to scientific beliefs depend to an important extent on the validity of evolutionary arguments (EAs) or evolutionary debunking arguments (EDAs). In this paper we show through an analytical model that cultural transmission of scientific knowledge can lead toward representations that are more truth-approximating or more efficient at solving science-related problems under a broad range of circumstances, even under conditions where human cognitive faculties would be further off the mark than they actually are.keywords Evolutionary arguments Á Evolutionary debunking arguments Á Intuitive ontologies Á Scientific knowledge Á Biased cultural transmission 1 Introduction
“…In this study, the bibliometric method was employed to get an overview of JMS over the last 35 years. Bibliometric analysis, based on statistical data about publications, citations, and other related indicators, has been widely used to reveal objective performance and development of scientific journals; for example, the American Journal of Roentgenology (Elster and Chen, 1994;Chen et al, 2003), Physics (Wagner-Dobler and Berg, 1999), the American Journal of Veterinary…”
at university: what faculty think and do about it", The Electronic Library, Vol. 33 Iss 4 pp. -Access to this document was granted through an Emerald subscription provided by emerald-srm:263496 []
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A bibliometric analysis of the Journal of Membrane Science (1976-2010)
AbstractPurpose -This study examines publication characteristics and the development of the science publication Journal of Membrane Science with 35 years of history by using bibliometric indicators.
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