Update README.md

View counts are now available.
cjf00000 · Jul 15, 2014 · ad93b35 · ad93b35
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@@ -224,3 +224,5 @@ Please cite our paper if you find ScaCTM is useful!
 Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, and Bo Zhang. Scalable Inference for Logistic-Normal Topic Models, Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, USA, 2013. (NIPS 2013)
 
 Some demonstration can be found at http://ml-thu.net/~scalable-ctm/.
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+[![githalytics.com alpha](https://cruel-carlota.pagodabox.com/b7934a612e0ac5dda8484dfb31f5df7e "githalytics.com")](http://githalytics.com/cjf00000/ScaCTM)