Scientific eminence and scientific hierarchy: Bibliometric prediction of fellowship in the Australian Academy of Sciences

doi:10.17605/OSF.IO/XHYWQ

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This repository contains the companion scripts and associated data for the manuscript titled *"Scientific eminence and scientific hierarchy: bibliometric prediction of fellowship in the Australian Academy of Science”* by Nick Haslam and Naomi Baes. **Integrated Development Environment:** R Studio **Programming Language**: R (version 4.2.2) (.R scripts) ____________________________________ *Article citation (APA):* Haslam, N., & Baes, N. (2023). Scientific eminence and scientific hierarchy: bibliometric prediction of fellowship in the Australian Academy of Science. Scientometrics, 128(12), 6659-6674. https://link.springer.com/article/10.1007/s11192-023-04870-8

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