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Wikimedia sites – and Wikipedias in particular – direct a lot of traffic to many web resources, including research-related ones.

Click stream data is not recorded on the Wikimedia end, so the alternative approach to finding out how important Wikimedia sites are in terms of traffic to research resources is analyzing the latter's referral logs.

One such analysis that was made public is from CrossRef. I am looking for other cases where such analyses have been made public.

Interesting questions to ask about such datasets:

  • Is wikipedia.org or one of its sister or subdomains (e.g. wikimedia.org or en.wikipedia.org) amongst the top referrers?
  • Is that pattern stable?
  • Since when has this been the case?
  • What are/might be the main drivers of that traffic (in the case of CrossRef, it's Wikipedia readers clicking on references cited by their respective DOIs)?
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  • I bet if you ask on Stack Overflow you're quite a bit more likely to get an answer.
    – Raydot
    Commented May 14, 2015 at 18:25
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    I agree, but am not sure the question would be in scope there.
    – Daniel Mietchen
    Commented May 20, 2015 at 20:30
  • I agree. Wish SE would see the value of these kinds of cross-population posts. But that's a topic for Meta, innit?
    – Raydot
    Commented May 21, 2015 at 6:43
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    I asked on Meta, you might be interested in the one answer I got: meta.academia.stackexchange.com/questions/1759/…
    – Raydot
    Commented May 22, 2015 at 9:09
  • I'm voting to close this question as off-topic because it appears to be a research proposal, not a question about academia.
    – David Richerby
    Commented Aug 21, 2015 at 9:52

1 Answer 1

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This doesn't directly answer your question, but in 2012, the Biodiversity Heritage Library's then-technical director published a presentation reporting on how users from Wikipedia stayed longer and browsed deeper than others, which included some analytics information. You could drop the the BHL an e-mail and see if they'd be interested in sharing any more recent details.

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