diff --git a/README.md b/README.md
index 33b42800cf31d33ed3e49177a33e382dfda97de1..45766990db4ea2d038375894c452122d2609a389 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,11 @@
-## Apache RocketMQ [![Build Status](https://travis-ci.org/apache/rocketmq.svg?branch=master)](https://travis-ci.org/apache/rocketmq) [![Coverage Status](https://coveralls.io/repos/github/apache/rocketmq/badge.svg?branch=master)](https://coveralls.io/github/apache/rocketmq?branch=master)
+## Apache RocketMQ 
+[![Build Status](https://travis-ci.org/apache/rocketmq.svg?branch=master)](https://travis-ci.org/apache/rocketmq) [![Coverage Status](https://coveralls.io/repos/github/apache/rocketmq/badge.svg?branch=master)](https://coveralls.io/github/apache/rocketmq?branch=master)
 [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.apache.rocketmq/rocketmq-all/badge.svg)](http://search.maven.org/#search%7Cga%7C1%7Corg.apache.rocketmq)
 [![GitHub release](https://img.shields.io/badge/release-download-orange.svg)](https://rocketmq.apache.org/dowloading/releases)
 [![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
+[![Average time to resolve an issue](http://isitmaintained.com/badge/resolution/apache/rocketmq.svg)](http://isitmaintained.com/project/apache/rocketmq "Average time to resolve an issue")
+[![Percentage of issues still open](http://isitmaintained.com/badge/open/apache/rocketmq.svg)](http://isitmaintained.com/project/apache/rocketmq "Percentage of issues still open")
+![Twitter Follow](https://img.shields.io/twitter/follow/ApacheRocketMQ?style=social)
 
 **[Apache RocketMQ](https://rocketmq.apache.org) is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.**
 
@@ -15,7 +19,7 @@ It offers a variety of features:
 * Versatile big-data and streaming ecosytem integration
 * Message retroactivity by time or offset
 * Reliable FIFO and strict ordered messaging in the same queue
-* Efficient pull&push consumption model
+* Efficient pull and push consumption model
 * Million-level message accumulation capacity in a single queue
 * Multiple messaging protocols like JMS and OpenMessaging
 * Flexible distributed scale-out deployment architecture