<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-07-17 11:17:14, UPMCnews from company upmc tweeted. The tweet was "Despite long-term treatment, HIV persists in spinal fluid and is linked to cognition problems, <mention>'s Dr. John Mellors reports in <mention>. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-02 23:22:00, cnnphilippines handle of company cnn tweeted. The tweet was "Researchers eliminated HIV from the DNA of infected mice. It's the first step toward a cure for humans, they say <hyperlink> <hyperlink>". This tweet got 633 number of likes. 
2. On 2019-02-27 20:19:44, LouisStaples handle of company staples tweeted. The tweet was "not only is this appalling, shoddy journalism, but it's dangerous too. HIV is an entirely controllable disease and, if someone is undetectable, they can't pass it on anyway. what an utter disgrace <hyperlink>". This tweet got 545 number of likes. 
3. On 2018-03-14 03:42:31, SABCNews handle of company sabc tweeted. The tweet was "HIV infection down by 39% in South Africa: <hyperlink> <hyperlink>". This tweet got 166 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
