Readersourcing 2.0: RS_Py

RS_Py is an additional component of the Readersourcing 2.0 ecosystem which provides a fully-working implementation of two Readersourcing models which are incapsulated by the server-side application of Readersourcing 2.0. Developers with a background in Python programming language can take advantage of RS_Py to generate and test new simulations of ratings given by readers to a set of publications and they are allowed to alter the internal logic of the models to test new approaches without the need to fork and edit the full implementation of Readersourcing 2.0.

Please, note that this is an early alpha release and it is not ready for the use in a production environment.

Related Organizations

University of Udine
Italy

Keywords

Scholarly Publishing, Peer Review, Crowdsourcing

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