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.

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.

This post is about metrics and specifically the H-index. It will probably be the first of several on this topic. I was re-reading a blog post by Alex Bateman on his affection for the H-index as a tool for evaluating up-and-coming scientists.

A great quote from a classic paper by J.B.S. Haldane “On Being The Right Size” (1926). You can drop a mouse down a thousand-yard mine shaft; and, on arriving at the bottom, it gets a slight shock and walks away, provided that the ground is fairly soft.

What was the best year in music? OK, I have to be upfront and say that I thought the answer to this would be 1991. Why? Just a hunch. Nevermind, Loveless, Spiderland, Laughing Stock… it was a pretty good year.

We have a new paper out! You can read it here. I thought I would write a post on how this paper came to be and also about our first proper experience with preprinting. Title of the paper: Non-specificity of Pitstop 2 in clathrin-mediated endocytosis.

A recent opinion piece published in eLife bemoaned the way that citations are used to judge academics because we are not even certain of the veracity of this information. The main complaint was that Google Scholar – a service that aggregates citations to articles using a computer program – may be less-than-reliable.

How long does it take to publish a paper? The answer is – in our experience, at least – about 9 months. That’s right, it takes about the same amount of time to have a baby as it does to publish a scientific paper.

Fans of data visualisation will know the work of Edward Tufte well. His book “The Visual Display of Quantitative Information” is a classic which covers the history and the principals of conveying data in a concise way, that is easy to interpret. He is also credited with two different dataviz techniques: sparklines and image quilts.

Books about the MRC Laboratory of Molecular Biology are plentiful. If you haven’t read any, the best place to start are the books written by some of the Nobelists themselves: “I Wish I’d Made You Angry Earlier” by Perutz, “My Life in Science” by Brenner.

In the lab we use IgorPro from Wavemetrics for analysis. Here is a useful procedure to plot all XY pairs in an experiment. I was plotting out some cell tracking data with a colleague and I knew that I had this useful function buried in an experiment somewhere.