<|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 2018-11-21 17:15:50, UPMCnews from company upmc tweeted. The tweet was "'Longevity protein' helps older muscles bounce back after injury, according to a new paper published in <mention> this week. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-01-27 14:04:01, MayoClinic handle of company mayo clinic tweeted. The tweet was "Gearing up for an endurance event such as the <mention>? To help your muscles recover, drink a liquid source of protein within two hours of exercise. <hyperlink>". This tweet got 67 number of likes. 
2. On 2018-10-02 23:05:42, MayoClinic handle of company mayo clinic tweeted. The tweet was "New research shows some exercises can help you #LiveLonger than others. "The study found that the #sports where you had some social connectivity, produced a greater longevity than those individual sports," says <mention> <hyperlink> <hyperlink>". This tweet got 150 number of likes. 
3. On 2019-05-10 01:54:21, thefrontbar7 handle of company bar tweeted. The tweet was "We’re lending some muscle to raise awareness of Friedreich Ataxia - a degenerative muscle disease 💪🏼 

#LendUsSomeMuscle <hyperlink>". This tweet got 226 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
