<|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 2019-09-17 16:00:23, UPMCPhysicianEd from company upmc tweeted. The tweet was "Do you know who is presenting at <mention> this week? View all the UPMC physicians and researchers featured at the conference. <hyperlink> #OTOMTG19 <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 2019-04-27 00:39:53, TankWilliams13 handle of company williams tweeted. The tweet was "R.I.P Mac 9‼️ Big ups to <mention> for repping the <mention> LEGEND‼️ #AirMcNair #Mac9 #TitanUp <hyperlink>". This tweet got 1373 number of likes. 
3. On 2018-01-10 17:56:08, VerizonNews handle of company verizon tweeted. The tweet was "Backstage with <mention> at <mention> before his #CES2018 keynote. Watch here: <hyperlink> <hyperlink>". This tweet got 43 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
