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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4304711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT salinassantiago whereshouldisenditoptimizingthesubmissiondecisionprocess AT munchstephanb whereshouldisenditoptimizingthesubmissiondecisionprocess |