research data . Dataset . 2016

Statistical Analysis of the Effect of Equations on Citations

Higginson, Andrew D; Fawcett, Tim W;
Open Access
  • Published: 01 Jan 2016
  • Publisher: Zenodo
Abstract
Statistical analysis of a data set of number of equations and number of citations of papers published in volumes 94 and 104 of the journal Physical Review Letters. This analysis is referred to by the paper Equation-dense papers receive fewer citations—in physics as well as biology in the New Journal of Physics (vol. 18, article 118003) by Andrew D Higginson and Tim W Fawcett. http://iopscience.iop.org/article/10.1088/1367-2630/18/11/118003
Subjects
free text keywords: impact factors, mathematical formulae, mathematical literacy, scientific progress, theoretical modelling, impact factors, mathematical formulae, mathematical literacy, scientific progress, theoretical modelling
Download from
Open Access
Zenodo
Dataset . 2016
Provider: Datacite
Open Access
Zenodo
Dataset . 2016
Provider: Zenodo
Any information missing or wrong?Report an Issue