Analysis of research topics and trends in investigator-initiated research/trials (IIRs/IITs): A topic modeling study.

ABSTRACT:

Background

With the exponential growth of publications in the field of investigator-initiated research/trials (IIRs/IITs), it has become necessary to employ text mining and bibliometric analysis as tools for gaining deeper insights into this area of study. By using these methods, researchers can effectively identify and analyze research topics within the field.

Methods

This study retrieved relevant publications from the Web of Science Core Collection and conducted bioinformatics analysis. The latent Dirichlet allocation model, which is based on machine learning, was utilized to identify subfield research topics.

Results

A total of 4315 articles related to IIRs/IITs were obtained from the Web of Science Core Collection. After excluding duplicates and articles with miss

SUBMITTER: Huang L 

PROVIDER: S-EPMC10919521 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature