Codes and Datasets for: 'The Largest Academic Publishers of Scholarly Journals: A Webscraping Approach'

This set comprises: "count_publishers*": four R codes ("count_publishers*") that draw from DOAJ, Publons, Scopus and SherpaRomeo to extract scholarly publishers and the journal counts assigned to each publisher; "data*": two underlying data samples (from DOAJ and Scopus) - the two other samples are accessed via webscraping; "harmonize*": one text-file and one R-code for harmonizing publisher names; "alljournals.xlsx": the resulting list of scholarly publishers ordered by the highest number of journal counts assigned to them.

Related Organizations

TU Wien
Austria

Keywords

Evolutionary Biology, Ecology, Webscraping, Science Policy, Immunology, Scientometrics, Plant Biology, Marine Biology, Biochemistry, Microbiology, Inorganic Chemistry, Infectious Diseases, Bibliometrics, Virology, Genetics, Publisher, Journals

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average