Adjutant: an R-based tool to support topic discovery for systematic and literature reviews

Bioinformatics. 2019 Mar 15;35(6):1070-1072. doi: 10.1093/bioinformatics/bty722.

Abstract

Summary: Adjutant is an open-source, interactive and R-based application to support mining PubMed for literature reviews. Given a PubMed-compatible search query, Adjutant downloads the relevant articles and allows the user to perform an unsupervised clustering analysis to identify data-driven topic clusters. Following clustering, users can also sample documents using different strategies to obtain a more manageable dataset for further analysis. Adjutant makes explicit trade-offs between speed and accuracy, which are modifiable by the user, such that a complete analysis of several thousand documents can take a few minutes. All analytic datasets generated by Adjutant are saved, allowing users to easily conduct other downstream analyses that Adjutant does not explicitly support.

Availability and implementation: Adjutant is implemented in R, using Shiny, and is available at https://github.com/amcrisan/Adjutant.

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Cluster Analysis
  • PubMed
  • Software*

Grants and funding