Citation count distributions for large monodisciplinary journals
datasetposted on 11.07.2016 by Mike Thelwall
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This is an online supplement to the article: Citation count distributions for large monodisciplinary journals.
This has been submitted to the Journal of Informetrics.
It contains images of data and discrete lognormal and hooked power law distributions fitted to 50 large monodisciplinary journals. It also contains R code to fit the distributions, a spreadsheet of results, raw data and a proof that the sum of two Lomax distributions is not necessarily another Lomax distribution.