As he notes, the trends across the ICs mirror what he found at NIGMS. The NIH-wide data also include more mechanisms … whereas Jeremy analyzed 654 R01s from one cycle, these data include all RPG, research center, and SBIR/STTR applications over 3 cycles (Oct-Jan-May Councils). Not sure if we’ll get all his other lovely data at the NIH level, but we can dream. In the meantime, thanks so much for your leadership in disseminating the NIGMS and now these NIH-wide data, Dr. Berg.
NIH-Wide Data on Impact & Criterion Score Correlations