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Where Should I Send It? Optimizing the Submission Decision Process

How do scientists decide where to submit manuscripts? Many factors influence this decision, including prestige, acceptance probability, turnaround time, target audience, fit, and impact factor. Here, we present a framework for evaluating where to submit a manuscript based on the theory of Markov dec...

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Detalles Bibliográficos
Autores principales: Salinas, Santiago, Munch, Stephan B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304711/
https://www.ncbi.nlm.nih.gov/pubmed/25616103
http://dx.doi.org/10.1371/journal.pone.0115451
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author Salinas, Santiago
Munch, Stephan B.
author_facet Salinas, Santiago
Munch, Stephan B.
author_sort Salinas, Santiago
collection PubMed
description How do scientists decide where to submit manuscripts? Many factors influence this decision, including prestige, acceptance probability, turnaround time, target audience, fit, and impact factor. Here, we present a framework for evaluating where to submit a manuscript based on the theory of Markov decision processes. We derive two models, one in which an author is trying to optimally maximize citations and another in which that goal is balanced by either minimizing the number of resubmissions or the total time in review. We parameterize the models with data on acceptance probability, submission-to-decision times, and impact factors for 61 ecology journals. We find that submission sequences beginning with Ecology Letters, Ecological Monographs, or PLOS ONE could be optimal depending on the importance given to time to acceptance or number of resubmissions. This analysis provides some guidance on where to submit a manuscript given the individual-specific values assigned to these disparate objectives.
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spelling pubmed-43047112015-01-30 Where Should I Send It? Optimizing the Submission Decision Process Salinas, Santiago Munch, Stephan B. PLoS One Research Article How do scientists decide where to submit manuscripts? Many factors influence this decision, including prestige, acceptance probability, turnaround time, target audience, fit, and impact factor. Here, we present a framework for evaluating where to submit a manuscript based on the theory of Markov decision processes. We derive two models, one in which an author is trying to optimally maximize citations and another in which that goal is balanced by either minimizing the number of resubmissions or the total time in review. We parameterize the models with data on acceptance probability, submission-to-decision times, and impact factors for 61 ecology journals. We find that submission sequences beginning with Ecology Letters, Ecological Monographs, or PLOS ONE could be optimal depending on the importance given to time to acceptance or number of resubmissions. This analysis provides some guidance on where to submit a manuscript given the individual-specific values assigned to these disparate objectives. Public Library of Science 2015-01-23 /pmc/articles/PMC4304711/ /pubmed/25616103 http://dx.doi.org/10.1371/journal.pone.0115451 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Salinas, Santiago
Munch, Stephan B.
Where Should I Send It? Optimizing the Submission Decision Process
title Where Should I Send It? Optimizing the Submission Decision Process
title_full Where Should I Send It? Optimizing the Submission Decision Process
title_fullStr Where Should I Send It? Optimizing the Submission Decision Process
title_full_unstemmed Where Should I Send It? Optimizing the Submission Decision Process
title_short Where Should I Send It? Optimizing the Submission Decision Process
title_sort where should i send it? optimizing the submission decision process
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304711/
https://www.ncbi.nlm.nih.gov/pubmed/25616103
http://dx.doi.org/10.1371/journal.pone.0115451
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