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Code For: More Readers in More Places

Authors: Ozaygen, Alkim; Neylon, Cameron; Huang, Karl;

Code For: More Readers in More Places

Abstract

Code for the preprint More Readers in More Places and the report Diversifying Readership. See the preprint and report for more details. This code utilises precipy to collect data from an online cloud-store, process and visualise it, and then generate the preprint from the template. This repository is in the run state. That is it reflects the state of the directory after running main.py. To run successfully the code requires access credentials for the dataset so it will not run for most users. As the data is not fully shared this is not fully reproducible. See the data repository for more details. The code is also available via Github.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
2
Average
Average
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5