Rating high‐throughput screening results via h‐index

The quantification of both the impact and quality of a scientist's publication record is an essential step in making decisions concerning hiring, promotion, and allocation of funding. In an attempt to resolve this problem, Hirsh proposed the h-index, a single-number criterion incorporating both the number of publications and the number of citations per publication. This value facilitates rating of a scientist's performance and is now one of the most commonly used matrices. Here, we would like to propose the rating of high-throughput screening (HTS) result by the h-index. Rating HTS result is to estimate how the HTS result is preferred by a medicinal chemist. In this study, we applied the h-index for rating HTS results and observed an enhanced rating of preferred starting points for drug development. In addition, we developed a new index, the maximum common structure (MCS) index, which is more effective than the h-index. Copyright (c) 2014 John Wiley & Sons, Ltd.