Anne O'Tate is a free, web-based application [1] that analyses sets of records identified on PubMed, the bibliographic database of articles from over 5,500 biomedical journals worldwide.
Searching for instance for articles on ‘“Knowledge Transfer”’ (for which no corresponding MeSH or entry term exists) will retrieve a set of some 530 studies in PubMed (as of August 2011); Anne O’Tate’s analysis suggests that MeSH terms like "Diffusion of Innovation" or "Information Dissemination" may be suitable additional concepts to retrieve a more ‘sensitive’ (comprehensive) set of references.
[5][6][7] Anne O'Tate (a pun on the word ‘annotate’) was developed by Neil R Smalheiser and a team of researchers from the University of Chicago.
The Project is based on research led by Don R. Swanson at the University of Chicago[11] which hosted the original tool.
[12] Further research was led by Neil R. Smalheiser at the University of Illinois at Chicago, with funding from the National Institutes of Health.