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\begin{document}

\title{Code sharing increases citations but remains uncommon}



\author[1]{Brian Maitner}%
\author[2]{Paul Santos Andrade}%
\author[3]{Luna Lei}%
\author[4]{Jamie Kass}%
\author[5]{Hannah Owens}%
\author[6]{George Barbosa}%
\author[6]{Bradley Boyle}%
\author[6]{Matiss Castorena}%
\author[7]{Brian Enquist}%
\author[8]{Xiao Feng}%
\author[9]{Daniel Park}%
\author[10]{Andrea Paz}%
\author[11]{Gonzalo Pinilla-Buitrago}%
\author[12]{Cory Merow}%
\author[1]{Adam Wilson}%
\affil[1]{University at Buffalo Department of Geography}%
\affil[2]{Universidad Nacional de San Antonio Abad del Cusco}%
\affil[3]{University at Buffalo}%
\affil[4]{Tohoku University Graduate School of Life Sciences}%
\affil[5]{University of Copenhagen Globe Institute}%
\affil[6]{University of Arizona}%
\affil[7]{University of Arizona, USA}%
\affil[8]{The University of North Carolina at Chapel Hill}%
\affil[9]{Purdue University}%
\affil[10]{ETH Zurich}%
\affil[11]{City University of New York}%
\affil[12]{University of Connecticut}%


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  \date{June 14, 2024}


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\begin{abstract}
Biologists increasingly rely on computer code to collect and analyze
their data, reinforcing the importance of published code for
transparency, reproducibility, training, and a basis for further work.
Here we conduct a literature review examining temporal trends in code
sharing in ecology and evolution publications since 2010, and test for
an influence of code sharing on citation rate. We find that there is
wide room for improvement in sharing code, as scientists are
overwhelmingly (95\%) failing to publish their code and that there has
been no significant improvement over time. We also determined that there
is a significant incentive to share, as we additionally find that code
sharing can considerably improve citations, particularly when combined
with open-access publication.%
\end{abstract}%



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\verb`R_code_sharing_EE_format.docx`  available at \url{https://authorea.com/users/244803/articles/687089-code-sharing-increases-citations-but-remains-uncommon}

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