| Abstract: | 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 © 2014 John Wiley & Sons, Ltd. |
