Science Advances

Supplementary Materials

The PDF file includes:

  • Table S1. Attributes of R01 submissions by race of applicant.
  • Table S2. Distribution of AA/B and WH PIs across institutional funding quintiles.
  • Table S3. Comparison of the proportion of applications from new investigators by race (R01 Types 1 and 2, FY 2011–2015).
  • Table S4. Comparison of impact scores for R01 applications from AA/B and WH applicants (Types 1 and 2, FY 2011–2015).
  • Table S5. Comparison of word2vec topic assignment to human SME annotation.
  • Table S6. Statistically significant variation in the award rates of topic clusters.
  • Table S7. Topics favored by AA/B applicants compared to topics with no AA/B applicants.
  • Table S8. Effect of topic choice on funding gap throughout the R01 application process.
  • Table S9. Effect of removing variables from regression models (awarded given discussed).
  • Table S10. Reviewer demographics for all study section meetings that considered R01 applications (FY 2011–2015).
  • Fig. S1. Racial differences in the number of unique R01 applications submitted per applicant (Types 1 and 2, FY 2011–2015).
  • Fig. S2. Funding gap between AA/B and WH scientists at each stage of the R01 application and review process at institutions in the highest and lowest NIH funding quintiles.
  • Fig. S3. Comparison of career age distributions for AA/B and WH scientists.
  • Fig. S4. Time between initial application submission and resubmission.
  • Fig. S5. Distribution of topics across study sections.
  • Fig. S6. Comparison of topic choice variation by race.
  • Fig. S7. Award rates by topic cluster size.
  • Fig. S8. Scientific influence for higher and lower success topics.
  • Fig. S9. Comparison of scientific influence for publications linked to awards from higher and lower success topics by percentile score.
  • Fig. S10. Scientific influence of publications by new investigators before and after receiving their first award.

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