bibliobanana 0.0.1

# Bibliographic banana for scale

If you’re an academic, there’s a big chance you’ve seen a graph of the yearly number of publications on a topic. This will likely have shown an increase, on the basis of which the writer concluded the topic was gaining in popularity. This, in short, was likely nonsense.

Academic research is ever expanding, and thus any visualisation of the number of publications on topic X will look like there is an increased interest in X. The solution is to normalise publication rates against the outputs of a whole discipline, but doing so can be very hard and require a lot of work.

The bibliobanana Python package can be used to more accurately quantify changes in academic interest. It comes with the following features:

• Loading bibliometric data from PubMed or Google Scholar on any topic

• Normalising publication rates on one or more keywords of interest with one or a collection of reference keywords.

• Storing bibliographic data in neatly organised text files.

• Plotting the raw, normalised, or max-scaled publication rates.

## Installation

Option 1: Installing from the command line 0) Make sure you have a running Python 3 installation. 1) Open a terminal (Linux or Mac OS X) or a command prompt (Windows) 2) Run the following command: pip install bibliobanana

Option 2: Installing from Python 1) Open Python. 2) Run the following commands:

`python import pip pip.main(["install", "bibliobanana"]) `

For example, please see: https://github.com/esdalmaijer/bibliobanana