2019
DOI: 10.1371/journal.pcbi.1007128
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Open collaborative writing with Manubot

Abstract: Open, collaborative research is a powerful paradigm that can immensely strengthen the scientific process by integrating broad and diverse expertise. However, traditional research and multi-author writing processes break down at scale. We present new software named Manubot, available at https://manubot.org , to address the challenges of open scholarly writing. Manubot adopts the contribution workflow used by many large-scale open source software projects to enable collaborative authoring … Show more

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Cited by 66 publications
(61 citation statements)
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“…We conducted our analyses using the R language (version 4.0.1), the cmprsk (version 2.2-10) package 66 implementation of the Fine-Gray model, MySQL version 5.6, and tidyverse meta-package version 1.1.2. The manuscript was written openly on GitHub using Manubot 67 .…”
Section: Methodsmentioning
confidence: 99%
“…We conducted our analyses using the R language (version 4.0.1), the cmprsk (version 2.2-10) package 66 implementation of the Fine-Gray model, MySQL version 5.6, and tidyverse meta-package version 1.1.2. The manuscript was written openly on GitHub using Manubot 67 .…”
Section: Methodsmentioning
confidence: 99%
“…Specifically, the race categories include White, Black or African American, American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, Other race, and Two or more races [34], and ethnicity categories include Hispanic/Latino or Not Hispanic/Latino [35]. We made race and ethnicity predictions of the surnames of US-affiliated authors and honorees using the R package wru, which implements methods described in Imai and Khanna [36]. wru uses similar race/ethnicity categories as in the Census but groups American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander to form the Other category.…”
Section: Methodsmentioning
confidence: 99%
“…This paper was collaboratively written with Manubot [87], and supplementary information including demonstration and benchmarking environments descriptions and walk-through can be seen on GitHub at https://github.com/apeltzer/eager2-paper/ and the directory.…”
Section: Data and Software Availabilitymentioning
confidence: 99%