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Life cycle of scientific publications in the field of high social impact.

Authors :
Ruggiero, B.
Amato, U.
Franco, B.
De Petrocellis, L.
Vettoliere, A.
Granata, C.
Silvestrini, S.
Bonavolontà, C.
Valentino, M.
Brocchieri, J.
Silvestrini, P.
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications; Sep2020, Vol. 24 Issue 18, p13657-13666, 10p
Publication Year :
2020

Abstract

In a previous work, we have presented an innovative theoretical model to describe the evolution of the life cycle of a new technology. We have proposed a mathematical approach based on a rate equation, similar to that used to describe quantum level transitions. The model is able to describe the hype curve evolution in many relevant conditions, which can be associated with various external parameters. In this article, we apply this model to describe the evolution of the number of publications in some different research fields that are very current and extremely advanced in terms of social impact. The applications have been chosen in the fields of biomolecular chemistry, genetics and superconducting nanoelectronics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
24
Issue :
18
Database :
Complementary Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
145053956
Full Text :
https://doi.org/10.1007/s00500-019-04441-1