<|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 2019-10-18 11:30:05, UPMCPhysicianEd from company upmc tweeted. The tweet was "Are you attending <mention> today? Don't forget to check who will be presenting from <mention> and <mention> to learn more about the clinical innovations and groundbreaking research coming from Pittsburgh. 

<hyperlink>  #AACAPAM19 <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 2020-01-31 13:54:01, pfizer_news handle of company pfizer tweeted. The tweet was "Upjohn, a division of Pfizer, is proud to partner with <mention> to advance knowledge and best practices in #NCDs that can improve care and save lives: <hyperlink> <hyperlink>". This tweet got 5 number of likes. 
3. On 2018-06-05 20:42:04, PfizerCA handle of company pfizer tweeted. The tweet was "Discussing innovative approaches to healthcare w/ <mention> <mention> <mention> <mention> <mention> at #BIO2018 #OntarioBIO2018. <hyperlink>". This tweet got 7 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
