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Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019

PURPOSE: In this investigation, we aimed to describe trends in time to acceptance (TTA) and time to online publication (TTOP) of research published in leading radiation oncology journals from 2010 to 2019. We further sought to identify journal characteristics that might influence TTA and TTOP. METHO...

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Autores principales: Rooney, Michael K., Nesbit, Eric G., Holliday, Emma B., Jagsi, Reshma, Fuller, Clifton D., Ludmir, Ethan B., Sachdev, Sean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749203/
https://www.ncbi.nlm.nih.gov/pubmed/35036635
http://dx.doi.org/10.1016/j.adro.2021.100863
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author Rooney, Michael K.
Nesbit, Eric G.
Holliday, Emma B.
Jagsi, Reshma
Fuller, Clifton D.
Ludmir, Ethan B.
Sachdev, Sean
author_facet Rooney, Michael K.
Nesbit, Eric G.
Holliday, Emma B.
Jagsi, Reshma
Fuller, Clifton D.
Ludmir, Ethan B.
Sachdev, Sean
author_sort Rooney, Michael K.
collection PubMed
description PURPOSE: In this investigation, we aimed to describe trends in time to acceptance (TTA) and time to online publication (TTOP) of research published in leading radiation oncology journals from 2010 to 2019. We further sought to identify journal characteristics that might influence TTA and TTOP. METHODS AND MATERIALS: We searched the publication history of 5 leading international radiation oncology journals. For all research articles accepted from January 1, 2010, to December 31, 2019, we tabulated the date of article receipt, the date of acceptance, and the date of online publication when available. The TTA was calculated as the number of elapsed days from article receipt to acceptance, and the TTOP was calculated as the number of elapsed days from article acceptance to online publication. Using the Mann-Kendall test, we assessed for monotonic trends over time and used the post hoc Theil-Sen method to estimate rates of change. We created a multiple regression model to identify journal characteristics associated with TTA and TTOP. RESULTS: In total, 10,132 articles were included. Both the TTA and the TTOP decreased significantly from 2010 to 2019 (P = .005 and P < .001, respectively), with an estimated decrease of 1.5 days per year for the TTA and 7.0 days per year for the TTOP. Multiple regression modeling revealed that a higher journal impact factor was independently associated with an increased TTA (P < .001) and a decreased TTOP (P < .001). A higher number of accepted journal articles per year was associated with a decreased TTA (P < .001) and an increased TTOP (P < .001). CONCLUSIONS: Radiation oncology research has been accepted and published online at increasingly faster rates during the past decade. The TTA may be longer in higher-impact, more selective journals, possibly suggesting a need for comprehensive peer review and complex editorial decisions. However, these articles are also published online faster after article acceptance. Future work examining patterns of acceptance and publication speed is needed to encourage rapid dissemination of practice-guiding data.
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spelling pubmed-87492032022-01-13 Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019 Rooney, Michael K. Nesbit, Eric G. Holliday, Emma B. Jagsi, Reshma Fuller, Clifton D. Ludmir, Ethan B. Sachdev, Sean Adv Radiat Oncol Research Letter PURPOSE: In this investigation, we aimed to describe trends in time to acceptance (TTA) and time to online publication (TTOP) of research published in leading radiation oncology journals from 2010 to 2019. We further sought to identify journal characteristics that might influence TTA and TTOP. METHODS AND MATERIALS: We searched the publication history of 5 leading international radiation oncology journals. For all research articles accepted from January 1, 2010, to December 31, 2019, we tabulated the date of article receipt, the date of acceptance, and the date of online publication when available. The TTA was calculated as the number of elapsed days from article receipt to acceptance, and the TTOP was calculated as the number of elapsed days from article acceptance to online publication. Using the Mann-Kendall test, we assessed for monotonic trends over time and used the post hoc Theil-Sen method to estimate rates of change. We created a multiple regression model to identify journal characteristics associated with TTA and TTOP. RESULTS: In total, 10,132 articles were included. Both the TTA and the TTOP decreased significantly from 2010 to 2019 (P = .005 and P < .001, respectively), with an estimated decrease of 1.5 days per year for the TTA and 7.0 days per year for the TTOP. Multiple regression modeling revealed that a higher journal impact factor was independently associated with an increased TTA (P < .001) and a decreased TTOP (P < .001). A higher number of accepted journal articles per year was associated with a decreased TTA (P < .001) and an increased TTOP (P < .001). CONCLUSIONS: Radiation oncology research has been accepted and published online at increasingly faster rates during the past decade. The TTA may be longer in higher-impact, more selective journals, possibly suggesting a need for comprehensive peer review and complex editorial decisions. However, these articles are also published online faster after article acceptance. Future work examining patterns of acceptance and publication speed is needed to encourage rapid dissemination of practice-guiding data. Elsevier 2021-12-05 /pmc/articles/PMC8749203/ /pubmed/35036635 http://dx.doi.org/10.1016/j.adro.2021.100863 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Letter
Rooney, Michael K.
Nesbit, Eric G.
Holliday, Emma B.
Jagsi, Reshma
Fuller, Clifton D.
Ludmir, Ethan B.
Sachdev, Sean
Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019
title Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019
title_full Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019
title_fullStr Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019
title_full_unstemmed Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019
title_short Trends in Publication Speed of Radiation Oncology Research from 2010 to 2019
title_sort trends in publication speed of radiation oncology research from 2010 to 2019
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749203/
https://www.ncbi.nlm.nih.gov/pubmed/35036635
http://dx.doi.org/10.1016/j.adro.2021.100863
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