How LRP is used in ResNet?

This is actually a theoretical question. How are the values propagated back in ResNet where there is skip connection?
Is the value divided equally between the previous layer neuron and the neurons of the layer from which skip connection is done? If so, then the assertion that sum of the relevance of all neurons in every layer is equal would be wrong as some relevance has 'leaked' to the initial layers due to skip connection.