How scientific literature has been evolving over the time? A novel statistical approach using tracking verbal-based methods
This addresses the need for sophisticated statistical methods to track terminology changes in a specific medical domain, but it is incremental as it applies known verbal-based methods to SLE data.
The paper tackled the problem of analyzing how scientific literature on Systemic Lupus Erythematosus (SLE) evolves over time by examining vocabulary complexity and influential articles, using a dataset of 506 abstracts from 115 journals over 18 years.
This paper provides a global vision of the scientific publications related with the Systemic Lupus Erythematosus (SLE), taking as starting point abstracts of articles. Through the time, abstracts have been evolving towards higher complexity on used terminology, which makes necessary the use of sophisticated statistical methods and answering questions including: how vocabulary is evolving through the time? Which ones are most influential articles? And which one are the articles that introduced new terms and vocabulary? To answer these, we analyze a dataset composed by 506 abstracts and downloaded from 115 different journals and cover a 18 year-period.