  It is proved that the only additive and isotropic information measure that
can depend on the probability distribution and also on its first derivative is
a linear combination of the Boltzmann-Gibbs-Shannon and Fisher information
measures. Power law equilibrium distributions are found as a result of the
interaction of the two terms. The case of second order derivative dependence is
investigated and a corresponding additive information measure is given.
