Back of the envelope calculations for this post. An old press release for a paper on endocytosis by Tom Kirchhausen contained this fascinating factoid: The equivalent of the entire brain, or a football field of membrane, is turned over every hour If this is true it is absolutely staggering. Let’s check it out. A synaptic vesicle is ~40 nm in diameter.

Last week, ALM (article-level metric) data for PLoS journals were uploaded to Figshare with the invitation to do something cool with it. Well, it would be rude not to. Actually, I’m one of the few scientists on the planet that hasn’t published a paper with Public Library of Science (PLoS), so I have no personal agenda here. However, I love what PLoS is doing and what it has achieved to disrupt the scientific publishing system.

What is your h-index on Twitter? This thought crossed my mind yesterday when I saw a tweet that was tagged #academicinsults It occurred to me that a Twitter account is a kind of micro-publishing platform. So what would “publication metrics” look like for Twitter? Twitter makes analytics available, so they can easily be crunched. The main metrics are impressions and engagements per tweet.

A colleague once told me that they only review three papers per year and then refuse any further requests for reviewing. Her reasoning was as follows: I publish one paper a year (on average) This paper incurs three peer reviews Therefore, I owe “the system” three reviews. It’s difficult to fault this logic. However, I think that as a senior scientist with a wealth of experience, the system would benefit greatly from more of her input.

When it comes to measuring the impact of our science, citations are pretty much all we have. And not only that but they only say one thing – yeah – with no context. How can we enrich citation data? Much has been written about how and why and whether or not we should use metrics for research assessment.

I thought I’d share a procedure for rotating a 2D set of coordinates about the origin. Why would you want do this? Well, we’ve been looking at cell migration in 2D – tracking nuclear position over time. Cells migrate at random and I previously blogged about ways to visualise these tracks more clearly. Part of this earlier procedure was to set the start of each track at (0,0). This gives a random hairball of tracks moving away from the origin.

What does the life cycle of a scientific paper look like? It stands to reason that after a paper is published, people download and read the paper and then if it generates sufficient interest, it will begin to be cited. At some point these citations will peak and the interest will die away as the work gets superseded or the field moves on. So each paper has a useful lifespan.

What is the best music to listen to while writing a manuscript or grant proposal? OK, I know that some people prefer silence and certainly most people hate radio chatter while trying to concentrate. However, if you like listening to music, setting an iPod on shuffle is no good since a track by Napalm Death can jump from the speakers and affect your concentration.

This post is about a paper that was recently published. It was the result of a nice collaboration between me and Francisco López-Murcia and Artur Llobet in Barcelona. The paper in a nutshell The availability of clathrin sets a limit for presynaptic function Background Clathrin is a three legged protein that forms a cage around membranes during endoctosis.

I was looking at the latest issue of Cell and marvelling at how many authors there are on each paper. It’s no secret that the raison d’être of Cell is to publish the “last word” on a topic (although whether it fulfils that objective is debatable). Definitive work needs to be comprehensive. So it follows that this means lots of techniques and ergo lots of authors.