So you found the book or article you wanted in iDiscover, but wouldn’t you like to know what your colleagues and peers have also been reading related to this title?
We are pleased to say, now you can know, just by glancing at the right of any iDiscover record for an online resource, you’ll now see a “Related reading” pane. This displays, from most read to least read, the books or articles most read by library readers around the world who have also read your target title. This is brought to you by “bX Recommender”, part of the Ex Libris products.
How does it work?
bX harvests link resolver usage data from many academic institutions around the world. If two articles are used in the same session, it analyzes the connection between them and stores the items in a co-retrieval network. Because bX recommendations are based on link resolver usage, they are truly platform- and content-neutral. The usage is generated through discovery systems, A&I databases, publisher platforms, and any other source that links users to full text via a link resolver. The articles may be from different journals, publishers, and platforms.
Typically you will see titles that could lead to new discoveries, and new insights on your topic.
In this example an article in The Lancet on prediction and prevention of pandemic zoonosis has a related article, based on usage data collected from institutions across the world, in PNAS where zoonosis is linked to agricultural intensification and climate change.


bX Recommender from Cambridge University Library’s Digital Services & Electronic Collection Management