1. Is that you John Wayne? Is this repository statistics?
I’ve named this talk in honour of our most popular paper and the bane of William’s stats gathering life. It’s a paper called Is that you John Wayne? Is this me?": myth and meaning in American representations of the Vietnam war.
It’s consistently the most viewed item in the repository and it’s the reason we filter our top 100 searches down into individual uses of terms.
Image:

2. It’s not only the most viewed item it is also something that users have found no less than 268 ways of phrasing to return a result from. Still, it’s all traffic to the site so we can’t complain too much.

3. There’s a blog post that talks about our top 100 searches available from the Enlighten site.

5. the top 100 is a fairly superficial use for the stats and there’s much more to them than simply a collection of numbers relating to the site.

6. Stats, huh! Good God! What are they good for?
Absolutely… Lots of things.
Changes in access (mobile devices)
Real time snap shots of the site
Why users access the site
Feedback to institution
Shows where users come from
For example you can analyse how users are accessing the site. We’ve obviously seen an increase in the use of mobile devices (iPhones and iPads are the most popular devices] accessing the internet in general and repositories are no exception. Using this information we can then adapt and optimise the site. I’ll have a look at a real time snap shot in a minute. Stats are obviously very useful in being able to report back to individuals, departments… The institution as a whole.

7. Using stats you can mine down to where users are coming from:
Stats = POWER
Using stats you can mine down to where users are coming from:
One of the most important uses is determining where people come from.
What we’ve found at Glasgow is that a large percentage of our traffic comes from search engines. That’s not massively surprising but recently we’ve been seeing a phenomenal increase in traffic to the site via the gla.ac.uk domain. This is slightly more interesting since these accesses are in no small way due to the fact that the repository is now used to generate staff publication pages.

8.
Proof that tying the two things together works.

9. We saw a huge amount of traffic heading to this record and through checking where access was coming from it turned out that the record had been linked to in a wikipedia article.

10. We also gather information about smaller incidences
We also gather information about smaller incidences. [slide 10] Like this blog by Sally Chandler, a academic at Kean University in New Jersey. She sends traffic our way by linking to a paper in Enlighten via her blog making it recommended reading for her students.
We identified this via the Real Time Metrics
Also using metrics we’ve noticed traffic from an academic’s personal page in Europe. The academic had been working in collaboration with members of staff at Glasgow. He's worked on a number of publications with them and the Glasgow authors added listings of the papers to Enlighten. So far so ordinary. However, at some point this academic went to Enlighten and copied the HTML for these entries and posted them on his website. Part of the way google anylitics registers stats for the site has to do with a tiny piece of code ("UA ") which he copied wholesale and added to his site which meant a small but noticeable amount of traffic showed up in Enlighten stats from his site registered in Europe.

11. Google analytics is what we've been using to harvest all of this information and it's a very useful and powerful tool. It basically allows us to look at a real time snap shot of the repository to view the number of users on the site, where they're located, where they came from and what they're looking at. And as we saw in the previous examples we're able to go backwards, mine down to where traffic is coming from to see what papers are being linked to. It also allows us to filter the stats related to the site to pick out specific information (most downloads or to filter out the aforementioned 200 odd John Wayne searches).
But obviously that's not the only way to grab info on your repository. There's also ROAR to get a rough and ready look at what you have in your repository as well as CGI Counter.

12. Eprints.gla.ac.uk/cgi/counter
CGI counter is a good way to get a quick look at stats in your EPrints repository or indeed any repository running eprints software. You can have a quick look at the number of accesses, number of items etc. by putting forward slash CGI forward slash counter after the web address.

13. Surfacing Data http://eprints.gla.ac.uk/2081/
So what uses do these have. Well, you can surface the data as we've done in this enlighten record [slide 14] (these are download stats from the language in pictland record from the earlier slide and the one on the left is from a paper at Salford). This can be useful as a way to show usage or to promote open access, showing downloads etc. adding to the overall visibility and impact of the material. [slide 15] We can look at this example from Queensland where the number of citations and downloads are brought right to the fore in the browse view. Which also includes Reuters and Scopus citation count.
There are a multitude of benefits to doing this. As mentioned, increased visibility of usage which can be relayed to authors and departments. It could help with funding for your repository and its a good way of benchmarking and tracking changes in use.

14. Surfacing Data 2
Example from Queensland of data surfacing.

15. China
William pointed out that there had been a massive change in the amount of access from china. In 2008 access from China was sitting at number 8 in our list of countries. Moving to 2011 and china has jumped to number 4 in our listings. It could be argued that increased visibility has led to increased citations counts which have helped Glasgow’s Glasgow's recent rise in the World and Times Higher rankings. More research needs to be done in this area but there is a clear upward trend in access. You can also produce impressive graphs like this one

16. Impressive graph!
Graph shows spike in bulk uploaded data – impressive.

17. Mendeley
You can also use stats as a benchmark to respond to different ways people are finding their way to your site. A year ago Mendeley wasn't something people were using but now it's incredibly popular and it's something we've responded to by adding the related URL's field [Slide added]. As with the reaction to increased mobile devices we’re can see more traffic arriving and accommodate it.

18. Reporting via ePrints: NECTAR
All of these outside stats gathering methods are great but lets not forget that eprints itself can be a useful tool in stats gathering. This slide shows a couple of images form the University of Northampton’s NECTAR who run reports in ePrints and output them as a .csv file listing individual outputs by Year, School, Division and Author. Each output is described by a Harvard style citation. This is run in the admin section of ePrints and we are looking at doing at Glasgow. We’d be looking at giving departmental editors the power to run these reports which would hopefully mean increased awareness of what was happening at a departmental level making things like REF returning much more focused on the department rather than the repository.

19. MePrints
Which brings us round to MePrints and the stats which are available within eprints. The MePrints homepage allows users to view a selection of widgets which manipulates their data. It shows them how many views each item has had, which is the most popular etc. etc.

20. Robbie.Ireland@glasgow.ac.uk http://eprints.gla.ac.uk/
Thank you