Data Mining in Scientometrics: usage analysis for academic publications
Abstract
We perform a statistical analysis of scientific-publication data with a goal to provide quantitative analysis of scientific process. Such an investigation belongs to the newly established field of scientometrics: a branch of the general science of science that covers all quantitative methods to analyze science and research process. As a case study we consider download and citation statistics of the journal `Europhysics Letters' (EPL), as Europe's flagship letters journal of broad interest to the physics community. While citations are usually considered as an indicator of academic impact, downloads reflect rather the level of attractiveness or popularity of a publication. We discuss peculiarities of both processes and correlations between them.
Keywords
Cite
@article{arxiv.1807.03353,
title = {Data Mining in Scientometrics: usage analysis for academic publications},
author = {Olesya Mryglod and Yurij Holovatch and Ralph Kenna},
journal= {arXiv preprint arXiv:1807.03353},
year = {2020}
}
Comments
The paper will be presented during DSMP'2018 conference