Academia.edu Adds Analytics To Bring Transparency To How Research Spreads
techcrunch.com
techcrunch.com
The key thing here is that if you ask a Harvard professor, with, say, 200 publications, how many downloads she got in the last 30 days, typically she will have no idea. The web is where most scientific research is being read and consumed, but scientists don't have easy ways of tracking metrics around their online influence. This dashboard is trying to change that.
The dashboard been in beta for a few months, and many users have written in saying that they are taking screenshots of the graphs, and are including them with their tenure track applications. Hiring and grant committees are increasingly keen to understand the broad impact of research they fund, ideally through a variety of different metrics: journal titles (which journal you got published in), citation counts, and now, increasingly, metrics that measure online influence, such as downloads. Something that surprised us a little was that it turns out that hiring and grant committees are increasingly interested in 'international reach'; i.e. they want to know that the research they fund as impact beyond the immediate region of the researcher. The dashboard helps a researcher to understand how international their audience is.
Previously a scientist only had an anecdotal of their audience: they would bump into people at a conference, and someone might say 'I read your paper', and them saying that produces a very warm glow (I have been there myself!). This dashboard is about putting numbers on your audience and reach, showing you which are your most popular papers. Some of our beta users also mentioned that the analytics are motivational: more people are interested in their work than they thought.
Historically one has had to wait 3-5 years for citation metrics to start trickling through for a given paper you have published. The metrics on this dashboard are real-time. You can upload a paper to Academia.edu, and see 24 hours later that you have 100 views. As scientists get used to knowing the real time metrics around their research, they will never go back. Real-time metrics around distribution will be, from this point onwards, a permanent feature of the scientific process.
I would question your assumption that academics have not heard of Academia.edu. 1.7 million academics have signed up, and around 3,500 join each day. It's one of the largest research sharing platforms on the web, with more than ten times the traffic of, say, ArXiv.
So again, I think it's great what you're doing, but to cast yourself as the leader of this movement is kinda like publishing a paper and not citing any prior work.
If people are really interested in this kind of thing, I recommend altmetrics.org and #altmetrics
(I work for Mendeley)
Mendeley's Institutional Edition is completely different. It's an analytics tool for libraries, not for individual scientists.
Edit: Rephrased as a general question.