In this article, we present a methodology which takes as input a collection of retracted articles, gathers the entities citing them, characterizes such entities according to multiple dimensions (disciplines, year of publication, sentiment, etc.), and applies a quantitative and qualitative analysis on the collected values.The methodology is composed of four animed blue lotion topical spray phases: (1) identifying, retrieving, and extracting basic metadata of the entities which have cited a retracted article, (2) extracting and labeling additional features based on the textual content of the citing entities, (3) building a descriptive statistical summary based on the collected data, and finally (4) running a topic modeling analysis.The goal of the methodology is to generate data and visualizations that help understanding possible behaviors related to retraction cases.
We present the methodology in a structured step-by-step form following its four phases, discuss its limits and possible workarounds, and list metabo 15-gauge finish nailer cordless the planned future improvements.