<|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 2019-02-22 01:30:06, UPMCPhysicianEd from company upmc tweeted. The tweet was "New model of care is making a difference in osteoporosis treatment. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-05-16 17:01:16, pfizer handle of company pfizer tweeted. The tweet was "#DYK that the word #osteoporosis literally translates to ‘porous bones’? Learn more about this silent but serious condition: <hyperlink> #NWHW <hyperlink>". This tweet got 5 number of likes. 
2. On 2018-05-21 00:05:01, MayoClinic handle of company mayo clinic tweeted. The tweet was "#Osteoporosis and #osteopenia, conditions of low bone mass leading to an increased risk of bone fracture, are extremely common in women, especially after #menopause when bone loss is accelerated. #WomensWellness <hyperlink> <hyperlink>". This tweet got 156 number of likes. 
3. On 2019-10-09 22:59:41, CharlesPulliam handle of company pm tweeted. The tweet was "They bout to bone <hyperlink>". This tweet got 175 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
