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Dataset Information

Trends in Worldwide Research in Inflammatory Bowel Disease Over the Period 2012-2021: A Bibliometric Study.


ABSTRACT:

Background

Inflammatory bowel disease (IBD) is a continuously increasing and worldwide disease, and the number of publications of IBD has been expanding in the past 10 years. The purpose of this study is to analyze the published articles of IBD in the past decade via machine learning and text analysis and get a more comprehensive understanding of the research trends and changes in IBD in the past 10 years.

Method

In November 2021, we downloaded the published articles related to IBD in PubMed for the past 10 years (2012-2021). We utilized Python to extract the title, publication date, MeSH terms, and abstract from the metadata of each publication for bibliometric assessment. Latent Dirichlet allocation (LDA) was used to the abstracts to identify publications' research topics

SUBMITTER: Li K 

PROVIDER: S-EPMC9160461 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature