diff --git a/README.Rmd b/README.Rmd
index f8bdac6..5030e56 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -20,6 +20,7 @@ options(digits = 2)
 [![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/grand-total/randomizr?color=green)](https://r-pkg.org/pkg/randomizr)
 [![Build status](https://github.com/DeclareDesign/randomizr/workflows/R-CMD-check/badge.svg)](https://github.com/DeclareDesign/randomizr/actions)
 [![Code coverage](https://codecov.io/gh/DeclareDesign/randomizr/branch/master/graph/badge.svg?token=wwi1lF13Se)](https://codecov.io/gh/DeclareDesign/randomizr)
+[![Replications](https://softwarecite.com/badge/randomizr)](https://softwarecite.com/package/randomizr)
 
 **randomizr** is designed to make conducting field, lab, survey, or online experiments easier by automating the random assignment process. Social and lab scientists conducting experiments need a process to assign individuals or units of observation to treatment or control wings. Common designs include simple random assignment, complete randomization, block randomization, cluster randomization, and blocked cluster randomization. **randomizr** automates all of these processes and assists scientists in doing transparent, replicable science. We offer **randomizr** for both [`R`](https://declaredesign.org/r/randomizr) and [`Stata`](https://declaredesign.org/stata/randomizr).
 
diff --git a/README.md b/README.md
index 524a642..ccb4c0d 100644
--- a/README.md
+++ b/README.md
@@ -11,6 +11,7 @@ downloads](https://cranlogs.r-pkg.org/badges/grand-total/randomizr?color=green)]
 status](https://github.com/DeclareDesign/randomizr/workflows/R-CMD-check/badge.svg)](https://github.com/DeclareDesign/randomizr/actions)
 [![Code
 coverage](https://codecov.io/gh/DeclareDesign/randomizr/branch/master/graph/badge.svg?token=wwi1lF13Se)](https://codecov.io/gh/DeclareDesign/randomizr)
+[![Replications](https://softwarecite.com/badge/randomizr)](https://softwarecite.com/package/randomizr)
 
 **randomizr** is designed to make conducting field, lab, survey, or
 online experiments easier by automating the random assignment process.