One theme that transcends scientific research, whether you’re trying to make a difference by doing research in the lab or supplying tools to help do that better/faster/smarter, is the positive impact from peer-reviewed publications citing your work.
I normally use the blog to highlight interesting applications or benefits people have experienced generating these published results. This month, I updated the list of Progenesis SameSpots publications and compared it to previous months. What I saw made me double-check my workings out! I’m happy to say what I saw was not a mistake 🙂
We’ve added the same number of publications over the last three months as we had six months prior to that. This rate of increase in 2D publications, with SameSpots in this case, might be counter to what you would expect in proteomics? So I compared trends over the last four years, extrapolating data to the end of 2010 with the average 8 SameSpots publications/month we’ve seen so far.
You might expect us to say this so I looked further into the number of citations, including 2D and image analysis with any make of software. The good news for anyone who supports the use of 2D and its advantages is that the number of publications increased 10% worldwide between 2007 and 2009. The data from just looking at publications including 2D analysis with SameSpots this year would suggest this trend should continue.
We can’t say exactly why 2D publications and particularly those citing Progenesis SameSpots continue to show this trend, despite rapid adoption of other techniques for proteomics. But people we talk to suggest that:
- 2D is a powerful complementary technique to LC-MS for proteomics
- 2D is proven to give reproducible results for quantitative proteomics
- Progenesis SameSpots provides a new approach with real benefits
- Progenesis SameSpots can reduce analysis time, which helps generate publishable results faster
So 2010 is shaping up to end on a high number of references, thanks to a growing number of people using Progenesis SameSpots. And overall 2D still seems to be a popular technique for answering research challenges using proteomics.