First things first... here is code to parse the .csv output provided by Scopus and calculate the h-index with a simple plot.

Now to deal with the authorship position we first parse the author list, determine where the author of interest is located and then convert the three categories into percentages. I have neglected to include the code that explicitly constructs the matrix A. Just let A = rbind(A, triax.data) to build it up for each author.

I happen to be the

**red**dot in the triangle plot, with four of my colleagues also represented. With respect to journals in the field of medical imaging and the like, one would want to have as many first or last author positions as possible and fewer middle positions. First means you did all the work, last means you're the most senior author and (let's face it) nobody cares if you're anywhere else.

So the question is, where do you sit?