Jot: guiding journal selection with suitability metrics.

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 provi...

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Publicado en:Journal of the Medical Library Association Vol. 110; no. 3; pp. 376 - 381
Autores principales: Gaffney, Stephen G., Townsend, Jeffrey P.
Formato: tables/charts Journal Article
Publicado: University of Pittsburgh, University Library System Jul2022
Acceso en línea:Ver este registro en EBSCOhost
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          Gaffney, Stephen G.
          Townsend, Jeffrey P.
        affil: Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT
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          Research, Medical
          Manuscripts
          Publishing
          World Wide Web Applications Utilization
          Decision Making
          Bibliometrics
          Guided Imagery
          Open Access Publishing
          Serial Publications
          Internet
          Software Design
      ab: 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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    language: English
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