March 6, 2017 - 1 min read

Keyword enrichment analysis of published research articles


In the scripts and ressources below, you will find the tools and the start of an exploratory data analysis. The core question I am trying to address is: can published research article keywords indicate modifications of research interests globally ?

This step aimed at :

  • Get as much data as possible from pubmed (1.9 million records here)
  • Integrate this data into a clean database (MongoDB)
  • Publish some clean code about getting data and visualize it
  • Start to explore the data “by hand” and try to get an intuition whether this whole idea make sense or not at all
  • Does journals with a given impact factor modulate the presence of certain keywords ?

All ressource code can be found on Github.

The following Jupyter Notebook shares my results so far:

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