Skip to content

ESHackathon/citationchaser_2023

 
 

Repository files navigation

citationchaser

In searching for research articles, we often want to obtain lists of references from across studies, and also obtain lists of articles that cite a particular study. In systematic reviews, this supplementary search technique is known as 'citation chasing': forward citation chasing looks for all records citing one or more articles of known relevance; backward ciation chasing looks for all records referenced in one or more articles.

Traditionally, this process would be done manually, and the resulting records would need to be checked one-by-one against included studies in a review to identify potentially relevant records that should be included in a review.

This package contains functions to automate this process by making use of the Lens.org API. An input article list can be used to return a list of all referenced records, and/or all citing records in the Lens.org database (consisting of PubMed, PubMed Central, CrossRef, Microsoft Academic Graph and CORE; 'https://www.lens.org').

USERS MUST OBTAIN A TOKEN FOR THE LENS.ORG SCHOLARLY API (available for free here). The API may be time limited, but not rate limited. Requests for tokens may need initial approval from The Lens.

A shiny app version of the package is available here. This version requires no Lens.org API and is immediately usable and ENTIRELY FREE.

Install the package using the following code: devtools::install_github("nealhaddaway/citationchaser")

Please cite as:
Haddaway, N. R., Grainger, M. J., Gray, C. T. 2021. citationchaser: An R package and Shiny app for forward and backward citations chasing in academic searching. doi: 10.5281/zenodo.4543513
Citation in .ris format (right click 'Save Link As')

DOI

GitHub all releases GitHub Release Date GitHub R package version GitHub last commit

GitHub Repo stars Twitter URL

About

Perform forward and backward citation chasing as part of an evidence synthesis project

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • R 100.0%