Chinese translated version available here In terms of cross disciplinary citation indexes that are used for discovery, everyone knows of the two incumbants — Web of Science and Scopus(2004) . Joined by the large web scale Google Scholar (2004) , these three reigned as the “Big 3” of citation indexes for roughly a decade more or less unchallenged.
As always I am on the lookout for new interesting discovery applications and search engines, and in this blog post I will briefly mention and describe (not a full blown review) the following new ones that caught my eye.
So it is Open Access Week 2020, while I write quite a bit on Open Access and Open Data, I don't often post specifically for Open Acess Week.
Do note what follows is my own personal reflections while working on I4OA and may not represent the views or opinions of I4OA as a whole.
As a academic librarian, iinterested in discovery, I have always been a bit skeptical about the value and usefulness of graph based techniques for enhancing discovery.
Two years ago in 2018 I started to realise the importance and value of Data discovery and slowly began studying various challenges to making Datasets discoverable.
Update Nov 2021 - A relook at GetFTR , Libkey, Exlibris Quicklinks, and other linking and authentication technologies
https://www.leidenranking.com/ranking/2020/list Recently the CWTS Leiden Rankings for 2020 was released and like many institution rankings , it used common research indicators such as More importantly it included less commonly seen indicators like Open Access Indicators and Gender Indicators.
My apologies for the little deception in the last blost post. I guarantee you this blog post is 100% written by the human Aaron Tay, though as always in areas I am teaching myself take everything here with more than the usual pinch of salt!
Why GPT-3 might be the greatest disruption to libraries since Google
Librarians are at best ambivalent about Google, but it's hard to deny they come up with really interesting and useful tools.