The two leading commercial sources that capture DARCLP at scale are Global Online Structure Activity Relationship Database (GOSTAR) from Excelra (formerly GVKBio) and Elsevier Reaxys Medicinal Chemistry . The current statistics for these are shown in Table . The GOSTAR numbers have a more detailed breakdown in a paper from 2013 (see Table in that reference) which includes the calculated curation averages of 12 compounds per-paper and 43 per-patent . Note that GOSTAR's compound total has doubled in the intervening six years but the extraction averages and ratio of compounds from papers : patents of ~ 1:2.7 recorded in 2013 are likely to be similar. Comparable detailed metrics for RMC curation have not been disclosed so it remains unclear what procedural differences that might explain their considerably larger activity, target and document counts compared to GOSTAR but connected to a million less compounds. Notwithstanding, using nominally the same medicinal chemistry corpus the extracted chemical structure ratios between SciFinder, Reaxys, GOSTAR and RMC are approximately 30:30:8:7. Several technical differences may explain these ratios but the most important is the primary focus of the latter two on full DARCLP capture rather than just D-C. This selectivity (for journals and patents) maintains the quality of target mapping and activity results.