From 6ea0b4807eb691d139b6cb574f65a6f1a3db1155 Mon Sep 17 00:00:00 2001 From: Ilya Sytchev Date: Tue, 17 Oct 2023 18:17:20 -0400 Subject: [PATCH] Replace DOI link with JOSS Markdown badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c6385c57..1dc9d610 100644 --- a/README.md +++ b/README.md @@ -163,4 +163,4 @@ log_stats_main(path_to_synthetic_log_data, path_to_log_summary, tz_str, option, ## Publications * Straczkiewicz, M., Huang, E.J., and Onnela, JP. A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers. _npj Digit. Med._ **6**, 29 (2023). https://doi.org/10.1038/s41746-022-00745-z Open Access: https://rdcu.be/c6dGV -* Onnela JP, Dixon C, Griffin K, Jaenicke T, Minowada L, Esterkin S, Siu A, Zagorsky J, and Jones E. Beiwe: A data collection platform for high-throughput digital phenotyping. Journal of Open Source Software, 6(68), 3417 (2021). https://doi.org/10.21105/joss.03417 +* Onnela JP, Dixon C, Griffin K, Jaenicke T, Minowada L, Esterkin S, Siu A, Zagorsky J, and Jones E. Beiwe: A data collection platform for high-throughput digital phenotyping. Journal of Open Source Software, 6(68), 3417 (2021). [![DOI](https://joss.theoj.org/papers/10.21105/joss.03417/status.svg)](https://doi.org/10.21105/joss.03417)