@article{TEXTUAL,
      recid = {9882},
      author = {Danchev, Valentin and Rzhetsky, Andrey and Evans, James  A.},
      title = {Meta-Research: Centralized scientific communities are less  likely to generate replicable results},
      journal = {eLife},
      address = {2019-07-02},
      number = {TEXTUAL},
      abstract = {Concerns have been expressed about the robustness of  experimental findings in several areas of science, but  these matters have not been evaluated at scale. Here we  identify a large sample of published drug-gene interaction  claims curated in the Comparative Toxicogenomics Database  (for example, benzo(a)pyrene decreases expression of  SLC22A3) and evaluate these claims by connecting them with  high-throughput experiments from the LINCS L1000 program.  Our sample included 60,159 supporting findings and 4253  opposing findings about 51,292 drug-gene interaction claims  in 3363 scientific articles. We show that claims reported  in a single paper replicate 19.0% (95% confidence interval  [CI], 16.9–21.2%) more frequently than expected, while  claims reported in multiple papers replicate 45.5% (95% CI,  21.8–74.2%) more frequently than expected. We also analyze  the subsample of interactions with two or more published  findings (2493 claims; 6272 supporting findings; 339  opposing findings; 1282 research articles), and show that  centralized scientific communities, which use similar  methods and involve shared authors who contribute to many  articles, propagate less replicable claims than  decentralized communities, which use more diverse methods  and contain more independent teams. Our findings suggest  how policies that foster decentralized collaboration will  increase the robustness of scientific findings in  biomedical research.},
      url = {http://knowledge.uchicago.edu/record/9882},
}