Unknown

Dataset Information

0

A protocol to gather, characterize and analyze incoming citations of retracted articles.


ABSTRACT: 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composed of four phases: (1) identifying, retrieving, and extracting basic metadata of the entities which have cited a retracted article, (2) extracting and labeling additional features based on the textual content of the citing entities, (3) building a descriptive statistical summary based on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 the planned future improvements.

SUBMITTER: Heibi I 

PROVIDER: S-EPMC9295990 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

altmetric image

Publications

A protocol to gather, characterize and analyze incoming citations of retracted articles.

Heibi Ivan I   Peroni Silvio S  

PloS one 20220719 7


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composed of four phases: (1) identifying, retrieving, and extracting basic metadata of the entities which have cited a retracted article, (2) extracting and  ...[more]

Similar Datasets

| S-EPMC10958238 | biostudies-literature
| S-EPMC8299312 | biostudies-literature
| S-EPMC8338205 | biostudies-literature
| S-EPMC8602331 | biostudies-literature
| S-EPMC8254129 | biostudies-literature
| S-EPMC6872168 | biostudies-literature
| S-EPMC8830369 | biostudies-literature
| S-EPMC3480361 | biostudies-literature
| S-EPMC5996733 | biostudies-literature
| S-EPMC8115781 | biostudies-literature