Data and code for performing analyses and plotting figures in "Global patterns of migration of scholars with economic development"
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Citation (APA style): Sanliturk, E., Zagheni, E., Dańko, M. J., Theile, T., & Akbaritabar, A. (2023). Global patterns of migration of scholars with economic development. Proceedings of the National Academy of Sciences, 120(4), e2217937120. https://doi.org/10.1073/pnas.2217937120
DOI: https://doi.org/10.1073/pnas.2217937120
Maintainer: Maciej J. Dańko.
Authors: Maciej J. Dańko and Tom Theile.
Main repository page: https://github.com/MaciejDanko/Global-Migration-of-Scholars-code-and-data-repositry-for-PNAS
Clone of this repository on OSF: https://osf.io/238zn/
The data used were extracted from the Bibliometric Database http://scholarlymigration.org/ (in preparation)
| File name | Description |
|---|---|
| README.MD | This file in Markdown format. |
| README.HTML | This file in html format. |
| COUNTRIES_LIST_100.CSV | List of 100 selected countries with the highest number of scholars, population > 500,000, and available information on GDP PCAP PPP 2017. |
| AGGREGATED_DATA.CSV | All available data for 210 countries in csv format. |
| AGGREGATED_DATA.RDA | Same as above but in Rdata format. |
| GENERATE_FIGURE_1.PY | Source code (Python v3.9) for plotting Figure 1. Author: Tom Theile (https://github.com/tomthe) |
| MAIN_ANALYSIS.R | Source code (R v4.2.1) for performing analyses and plotting results and data in Figure 2. Author: Maciej J. Dańko (https://github.com/MaciejDanko) |
| FIGURES\ | Folder with plotted figures in different graphical formats. |