Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We present a distinctiveness, relevance and plausibility (DRP) method for systematically evaluating potential experimental confounds. A claim is a statement being inferred on the basis of experimental data analysis. A potential confound is a statement providing a prima facie reason why the claim is not justified (other than internal weakness). In evaluating whether a potential confound is problematic, we can start by asking whether the potential confound is distinctive from the claim; we can then ask whether it is relevant for the claim; and we can conclude by asking whether it is plausible in the light of the evidence.