  Recently, two new indicators (Equalized Mean-based Normalized Proportion
Cited, EMNPC, and Mean-based Normalized Proportion Cited, MNPC) were proposed
which are intended for sparse data. We propose a third indicator
(Mantel-Haenszel quotient, MHq) belonging to the same indicator family. The MHq
is based on the MH analysis - an established method for polling the data from
multiple 2x2 contingency tables based on different subgroups. We test (using
citations and assessments by peers) if the three indicators can distinguish
between different quality levels as defined on the basis of the assessments by
peers (convergent validity). We find that the indicator MHq is able to
distinguish between the quality levels in most cases while MNPC and EMNPC are
not.
