Metadata-Version: 2.1
Name: bibliobanana
Version: 0.0.1
Summary: Python package to quantify and normalise yearly publication rates for specific keywords on PubMed and Google Scholar
Home-page: https://github.com/esdalmaijer/bibliobanana
Author: Edwin Dalmaijer
Author-email: edwin.dalmaijer@mrc-cbu.cam.ac.uk
License: UNKNOWN
Description: # 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
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
