  Scientific publications and other genres of research output are increasingly
being cited in policy documents. Citations in documents of this nature could be
considered a critical indicator of the significance and societal impact of the
research output. In this study, we built classification models that predict
whether a particular research work is likely to be cited in a public policy
document based on the attention it received online, primarily on social media
platforms. We evaluated the classifiers based on their accuracy, precision, and
recall values. We found that Random Forest and Multinomial Naive Bayes
classifiers performed better overall.
