The analysis of scientometric matrices for policy implications

Abstract

A method is explained for analysing matrices of statistics where each element should be approximately proportional to some column coefficient and also to some row coefficient. Using U. S. patent data as an example it is shown that entries are usually proportional to country “size” and patent category “size”. Deviations from proportionality expectations when tabulated often suggest policy implications.