Exploring the Open Access Evidence Base in Unpaywall with Python | SUB Goettingen, Scholarly Communication Analytics

Haupka (2020, March 30). Scholarly Communication Analytics: Exploring the Open Access Evidence Base in Unpaywall with Python. Retrieved from https://subugoe.github.io/scholcomm_analytics/posts/unpaywall_python/

Open Access evidence sources constantly change. In this blog post, I present a Python based approach for analysing the most recent snapshots from the open access discovery service Unpaywall. Results shows a growth in open access content, partly because of newly introduced evidence sources like Semantic Scholar.