Background: the Benjamini-Hochberg procedure is a method for correcting for multiple p-values. (If you set p<.05, and you do 20 tests, then one test is likely to be a false positive. The B-H procedure corrects for this.)
When using this procedure, not only do you set a p value (usually .05), you also set a q value - the False Discovery Rate (or FDR). This does not necessarily need to be .05.
This CrossValidated thread discusses the correctness of choosing the q value after viewing your data, but it does not answer my question.
My question: what is usually considered a reasonable q value? I've seen everything from .05 to .20 used in literature, but I have found no guidance on what are the highest values that may be considered "conservative" and what is considered a stretch.