Title: Exploring Features for Predicting Policy Citations,
Abstract: In this study we performed an initial investigation and evaluation of
altmetrics and their relationship with public policy citation of research
papers. We examined methods for using altmetrics and other data to predict
whether a research paper is cited in public policy and applied receiver
operating characteristic curve on various feature groups in order to evaluate
their potential usefulness. From the methods we tested, classifying based on
tweet count provided the best results, achieving an area under the ROC curve of
0.91.