Code sharing in ecology and evolution increases citation rates but remains uncommon.
Autor: | Maitner B; Department of Integrative Biology University of South Florida St. Petersburg Florida USA.; Department of Geography University at Buffalo Buffalo New York USA., Santos Andrade PE; Departamento de Ecologia Universidad Nacional San Antonio Abad del Cusco Cusco Peru., Lei L; University at Buffalo Buffalo New York USA., Kass J; Macroecology Laboratory, Graduate School of Life Sciences Tohoku University Sendai Miyagi Japan., Owens HL; Center for Global Mountain Biodiversity, Globe Institute University of Copenhagen Copenhagen Denmark.; Center for Macroecology, Evolution, and Climate, Globe Institute University of Copenhagen Copenhagen Denmark.; Florida Museum of Natural History University of Florida Gainesville Florida USA., Barbosa GCG; Department of Computer Science University of Arizona Tucson Arizona USA., Boyle B; Department of Ecology and Evolutionary Biology University of Arizona Tucson Arizona USA., Castorena M; Department of Ecology and Evolutionary Biology University of Arizona Tucson Arizona USA., Enquist BJ; Department of Ecology and Evolutionary Biology University of Arizona Tucson Arizona USA.; The Santa Fe Institute Santa Fe New Mexico USA., Feng X; Department of Biology University of North Carolina at Chapel Hill Chapel Hill North Carolina USA., Park DS; Department of Biological Sciences Purdue University West Lafayette Indiana USA.; Purdue Center for Plant Biology Purdue University West Lafayette Indiana USA., Paz A; Department of Environmental Systems Science, Institute of Integrative Biology ETH Zürich Zürich Switzerland.; Département de Sciences Biologiques Université de Montréal Montreal Québec Canada., Pinilla-Buitrago G; PhD Program in Biology, The Graduate Center and Department of Biology, City College of New York City University of New York New York New York USA., Merow C; Eversource Energy Center and Department of Ecology and Evolutionary Biology University of Connecticut Storrs Connecticut USA., Wilson A; Department of Geography University at Buffalo Buffalo New York USA. |
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Jazyk: | angličtina |
Zdroj: | Ecology and evolution [Ecol Evol] 2024 Aug 27; Vol. 14 (8), pp. e70030. Date of Electronic Publication: 2024 Aug 27 (Print Publication: 2024). |
DOI: | 10.1002/ece3.70030 |
Abstrakt: | 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 estimating 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 code is rarely published (only 6% of papers), with little improvement over time. We also found there may be incentives to publish code: Publications that share code have tended to be low-impact initially, but accumulate citations faster, compensating for this deficit. Studies that additionally meet other Open Science criteria, open-access publication, or data sharing, have still higher citation rates, with publications meeting all three criteria (code sharing, data sharing, and open access publication) tending to have the most citations and highest rate of citation accumulation. Competing Interests: The authors declare no competing interests. (© 2024 The Author(s). Ecology and Evolution published by John Wiley & Sons Ltd.) |
Databáze: | MEDLINE |
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