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Updated: Jun 21, 2026

A Quantitative Fitness Analysis Workflow
Published on: August 13, 2012
Jot: guiding journal selection with suitability metrics
Stephen G Gaffney1, Jeffrey P Townsend2
1stephen.gaffney@yale.edu, Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT.
Abstract:
Researchers grapple with a challenging and consequential decision each time they choose a journal for manuscript submission. There are several online tools that attempt to identify appropriate journals for a manuscript, but each of these tools has shortcomings in terms of the journal data they provide and the exploration functionality they offer-and not one of these tools is open source. Jot is a free and open-source web application that matches manuscripts in the fields of biomedicine and life sciences with suitable journals, based on a manuscript's title, abstract, and (optionally) citations. Jot gathers a wealth of data on journal quality, impact, fit, and open access options that can be explored through a dashboard of linked, interactive visualizations.
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