In 2018, we wrote a short editorial to introduce new users to estimation graphics. We first released this as a preprint, which was received well.
We then submitted this short piece, with the software for consideration by Nature Methods. After some time, and addition of several features, this was accepted and published. The publication was also met with a warm reception by scientists.
Several other statistics-reform advocates recommended the software for scientists to use in their data analysis. Lewis Halsey, who previously highlighted the volatility of p-values, noted that DABEST and the estimationstats web app are the best methods to produce publication-quality estimation graphics.
Most recently, the Editor-in-Chief of eNeuro, the Society for Neuroscience's open-access journal, announced that he was changing the journal's policy to encourage the use of estimation statistics. This was backed up with a great explanation of the why and how of estimation by Robert J. Calin-Jageman and Geoff Cumming. The Editor-in-Chief Christophe Bernard wrote a personal account of how he came to adopt estimation:
This is a very promising development. We hope that this policy change at eNeuro spreads further, as we believe journal policy, when paired with the right tools for analysts, is a powerful way to transform statistical practice.