A more efficient and relevant method for searching scientific literature.
- Ranks articles on their degree of co-citation.
- Finds core articles related to one or more articles of interest.
- Does not depend on keywords and consistent terminology.
- Enables automation of the search process.
Finding relevant scientific literature for a new research idea, a grant application, or the writing of a manuscript is challenging and time-consuming, especially when the terminology for key concepts, variables and outcomes differs among studies. Currently used search engines such as Google Scholar and Citation Tracker depend on direct citation searching. Citation searching is inefficient and ineffective because relevant articles are only loosely connected by their direct citations. A robust search method is needed that finds relevant articles beyond direct citations.
Emory University inventor has developed an efficient and relevant method for searching scientific literature. This search method ranks articles, based on their degree of co-citation with one or more known articles. The co-citation literature search method does not depend on keywords and consistent terminology to achieve an effective search. This algorithm also enables automated searching, eliminating manual screening. Co-citation literature search provides an efficient and effective method for finding core articles related to one or more articles of interest.
Software is developed and research has been performed.
Publication: Janssens, A.C. et al. (2015). BMC Med Res Methodol, 15(84).