Would it tell us anything useful? Does it tell us anything useful about the current state of journal RSS feeds, or suggest areas for improvement?

Let’s find out. It’s as simple as locating the feed URL from your journal subscriptions, pasting it into Wordle and eyeballing the results. Here’s what came back for the 25 journals in my current subscription list.



Biochemistry

Not especially successful. Items in the Biochemistry feed consist largely of dates/times, DOIs and author names, with no information regarding article content.

Bioinformatics

Rather better. It’s obvious at a glance that protein kinases and phosphorylated substrates are topical in this issue.

BMC Bioinformatics

Also very good. We would guess straight away that analysis of proteomic data is a hot topic in this issue.

BMC Genomics

Another win for a BMC journal. It’s clear that gene expression is big in this issue.

Briefings in Bioinformatics

This graphic gives us a flavour of what the journal is all about: more methods and algorithms than insights into biology. Nothing wrong with that, just saying.

Cell

Networks stands out, but then we see a lot of words with similar frequency (most likely, one instance). Not especially informative in this case.

Genome Biology

I’d guess that this is a special issue on genes controlling circadian rhythm in Drosophila. An excellent summary graphic.

Genome Research

Not too surprisingly genes, genomes and genomics feature strongly in this summary. We also see an emphasis on mammals and an intriguing Mexican connection.

Genome Research in advance

Articles in advance from the previous journal. Once again, it looks like we have a special focus on Drosophila.

Journal of Biological Chemistry

An excellent summary from JBC. We’d expect to find a number of current articles on membrane channels, judging by this graphic.

Journal of Biochemistry

The second of the biochemistry journals also scores well. Lectins, the extracellular matrix and fatty acid metabolism are the ones to watch this month.

Journal of Proteome Research

Oh dear – we’re back to dates, DOIs and authors. The feed from this journal contains pretty summary graphics for each article, but tells you little about content.

Nature

Looking at this, you might get the impression that Nature rather enjoy talking about themselves ;)

This one is a little weird in that the feed clearly contains abstracts, but whatever I gave to Wordle doesn’t extract the words as expected. See Alf’s comment for something that did work well.

Nature Biotechnology

Same problem for another journal from the Nature stable.

Nucleic Acids Research

Gene expression and neuroscience feature in the latest edition of NAR.

Nucleic Acids Research in advance

Advanced access articles from the previous journal are also summarised nicely. Reassuring to see that nucleic acids still feature prominently, given the title of the journal.

PLoS Computational Biology

It’s very obvious from this summary that the journal is all about models. There seems to be a focus on malaria in the current issue too.

PLoS ONE

A strong showing from PLoS ONE and as you might expect, a wide range of topics. “Oryzae” is prominent in this summary – rice, Aspergillus, other?.

Proteins: Structure, Function and Bioinformatics

Reassuringly, a range of keywords related to protein structure appears here. A PDB code, 1TW7, is also prominent.

Proceedings of the Royal Society B

A decent-enough summary of current content. Fruit anyone?

arXiv Quantitative Biology

I like to keep an eye on the biological section of arXiv. As you’d expect if you’ve ever browsed the contents, an eclectic mix of concepts are captured in this summary.

Science

Disappointing. Plenty of keywords but none that really jump out: largely because many of them refer to the section titles used by the journal. By now, you should be realising what makes for a good RSS summary. Hint: it’s the abstracts.

Source Code for Biology and Medicine

The neglected, lower tier end of the bioinformatics journal spectrum, but generates an excellent summary graphic. Clear that image analysis is the hot topic in this issue.

Structure

Not a huge amount of variation in keyword frequency here, but it at least gives us some impression of the contents. S-layers are the only stand-out.