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High-throughput analysis suggests differences in journal false discovery rate by subject area and impact factor but not open access status.

L M HallAudrey E Hendricks
Published in: BMC bioinformatics (2020)
Our results identify areas of research that may need additional scrutiny and support to facilitate replicable science. Given our publicly available R code and data, others can complete a broad assessment of the empirical false discovery rate across other subject areas and characteristics of published research.
Keyphrases
  • high throughput
  • small molecule
  • single cell
  • public health
  • minimally invasive
  • electronic health record
  • finite element
  • big data
  • systematic review
  • machine learning
  • deep learning