Journal Impact Factor Visualisation

Whilst looking around for inspiration for things that could go into a mashup to jazz up the OU repository, I came across the rather wonderful which provides an alternative (the “eigenfactor”) to the Thompson Scientific Impact Factor measure of academic journal “weight”.

The site provides a range of graphical tools for exploring the relative impact of journals in a particular discipline, as well as a traditional search box for tracking down a particular journal.

Here’s how we can start to explore the journals in a particular area using an interactive graphical map:

The top journals in the field are listed on the right hand side, and the related fields are displayed within the central panel view.

A motion chart (you know: Hans Rosling; Gapminder…) shows how well particular journals have fared over time:

As well as providing eigenfactor (cf. impact) ratings for several hundred journals, the site also provides a “cost effectiveness” measure that attempts to reconcile a journal’s eigenfactor with it’s cost, giving buyers an idea of how much “bang per buck” their patrons are likely to get from a particular journal (e.g. in terms of how well a particular journal provides access to frequent, highly cited papers in a particular area, given its cost).

Reports are also available for each listed journal:

Finally, if you want to know how eigenfactors are calculated (it’s fun :-), the algorithm is described here: eigenfactor calculation.

Author: Tony Hirst

I'm a Senior Lecturer at The Open University, with an interest in #opendata policy and practice, as well as general web tinkering...

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