Feature Importance For Logistic Regression?

Is there an established methodology for determining which features are important when training a logistic regression classifier? The most obvious first thought is to look at each feature's raw weight as an indication of feature importance, but this seems too simple of an approach. Perhaps some sort of permutation test or something else? Any thoughts or pointers to references would be greatly appreciated.