LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

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

Photo from wikipedia

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… Click to show full 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.

Keywords: adjutant based; literature reviews; tool support; adjutant; based tool

Journal Title: Bioinformatics
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.