<|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 2019-01-18 18:57:21, uclagymnastics from company ucla tweeted. The tweet was "Big thank you to our local newspapers <mention> and <mention> for the FRONT PAGE coverage of <mention> and wonderful features by <mention> and <mention>! <hyperlink>". The most similar tweets were, 
1. On 2018-02-24 20:00:26, UCLAHealth handle of company ucla health tweeted. The tweet was "The <mention> visited <mention>  and met some of our awesome patients. Thank U for bringing smiles to so many faces! #UCLAMCH #lakers <hyperlink>". This tweet got 369 number of likes. 
2. On 2019-03-27 04:09:37, UCLAHealth handle of company ucla health tweeted. The tweet was "We are proud to partner with the  Los Angeles <mention> to enhance community health in greater Los Angeles! #GoDodgers ➡️ <hyperlink> <hyperlink>". This tweet got 341 number of likes. 
3. On 2019-02-28 11:45:00, cnnsport handle of company cnn tweeted. The tweet was ""From branding to marketing, to the product on the field -- you have to give them an A+ all across the board"

<mention>, <mention> and <mention> have been impressed with what <mention> have brought to <mention> ➡ <hyperlink> <hyperlink>". This tweet got 621 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
