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This is the code used for all analysis in the article Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes, by John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus. The code relies on the data archived at: https://doi.org/10.5281/zenodo.835579 It also relies on several external data sources, which can be downloaded by following the instructions in A0.0_data_download.r. To run the code, make sure to change the paths.r folder as well as the initial setwd() call in each file, based on your own directory structure. Copyright 2017 John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus. Code for Article: "Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes" is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Code for Article: "Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes" is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Code for Citizen Science Against Globalized Mosquito-Borne Diseases. If not, see <http://www.gnu.org/licenses/>.
citizen science, mosquitoes, disease vectors, Zika, chikungunya, dengue
citizen science, mosquitoes, disease vectors, Zika, chikungunya, dengue
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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