Now there are lots of efforts out there to collect comments about papers. Faculty of 1000. The Third Reviewer. Research blogging. And much more. For other discussions of the issue see:
- Science in the Open » Blog Archive » The future of research ...
- Implementing the “Publication as Aggregation” - Cameron Neylon
- Aggregating, Tagging and Integrating Biodiversity Research
- How to Publish a Scientific Comment in 1 2 3 Easy Steps
- Soft peer review: Social software and distributed scientific evaluation
- and much much more
My simple suggestion:
If you see ANY online discussion of a paper - a news story - a blog - even some smaller thread somewhere. Find the journal article online and use the comments function is the journal has one to post a comment saying "There was a news story discussing this paper in the New York Times. See ...." Or something like that. And presto, people who go see the paper online will also have potential to find the link you post.
I have been doing this for a while. It is relatively easy for PLoS Papers. For example for my paper on "Stalking the Fourth Domain in Metagenomic Data" I posted all sorts of links using the PLoS One comment function. I posted links to my blog. I posted links to positive news stories. I posted links to critiques. Anything I could find.
And this worked out pretty well.
I then started posted links for other papers, even pretty old ones (I just posted a few for my PLoS Biology paper in 2006 on the Tetrahymena genome). I have now done this for many PLoS papers as well as my recent Nature paper on a "Phylogeny driven genomic encyclopedia of bacteria and archaea". Now, mind you, this works best when the papers are open access or at least freely available, so that people can read the paper as well as the discussions. But you could do this for any paper in principle if the journal has a commenting function.
Now - I am not alone in starting to do this. PLoS One has even launched this as a formal "media tracking" project: see PLoS ONE’s Media Tracking Project | EveryONE. Not sure how well their system will work, but any aggregation is good. Of course, in the long run, systems that aggregate automatically using trackbacks or DOIs or other tools will be best (e.g., some journals link to Research Blogging posts but not all do), but those do not always work perfectly and some journals do not seem to like the automated approaches. So please - link and comment away. Become part of the aggregation solution. I know this is not all we need to do and this is a relatively minor thing - but if we get everyone engaged in doing it, I believe there will be a catalytic effect whereby people will then understand why this might be useful to do broadly ...