We propose a system to visualize statistics collected from NLM's MEDLINE® database that contains citations related to biomedical journal articles. The system extracts information from author affiliations in the articles such as organization, city, state, country, etc., categorizes the articles into several groups using the information, collects statistics such as the number of articles published per country each year, etc., and displays the statistics through a Web site using tables and choropleth maps. Hidden Markov Model (HMM) and statistics are used to extract the information from the affiliations, and Google Map API, JSON, JavaScript and other APIs are used for the development of the site.
['Jongwoo Kim', 'Paul LoBuglio', 'George R. Thoma']
Visualization of Statistics from MEDLINE