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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University Library System, University of Pittsburgh
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782573/ https://www.ncbi.nlm.nih.gov/pubmed/36589304 http://dx.doi.org/10.5195/jmla.2022.1499 |
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author | Gaffney, Stephen G. Townsend, Jeffrey P. |
author_facet | Gaffney, Stephen G. Townsend, Jeffrey P. |
author_sort | Gaffney, Stephen G. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9782573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | University Library System, University of Pittsburgh |
record_format | MEDLINE/PubMed |
spelling | pubmed-97825732022-12-29 Jot: guiding journal selection with suitability metrics Gaffney, Stephen G. Townsend, Jeffrey P. J Med Libr Assoc Commentary 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. University Library System, University of Pittsburgh 2022-07-01 2022-07-01 /pmc/articles/PMC9782573/ /pubmed/36589304 http://dx.doi.org/10.5195/jmla.2022.1499 Text en Copyright © 2022 Stephen G. Gaffney, Jeffrey P. Townsend https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Commentary Gaffney, Stephen G. Townsend, Jeffrey P. Jot: guiding journal selection with suitability metrics |
title | Jot: guiding journal selection with suitability metrics |
title_full | Jot: guiding journal selection with suitability metrics |
title_fullStr | Jot: guiding journal selection with suitability metrics |
title_full_unstemmed | Jot: guiding journal selection with suitability metrics |
title_short | Jot: guiding journal selection with suitability metrics |
title_sort | jot: guiding journal selection with suitability metrics |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782573/ https://www.ncbi.nlm.nih.gov/pubmed/36589304 http://dx.doi.org/10.5195/jmla.2022.1499 |
work_keys_str_mv | AT gaffneystepheng jotguidingjournalselectionwithsuitabilitymetrics AT townsendjeffreyp jotguidingjournalselectionwithsuitabilitymetrics |