Identifying meaningful viewpoints in molecular visualization remains challenging due to the abstract and complex nature of molecular scenes. In this paper, we evaluate 20 state-of-the-art viewpoint selection metrics across four common molecular representations. We show that these metrics are inconsistent in detecting key geometrical configurations, and we demonstrate that linear combinations of metrics significantly improve detection performance.
