<|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 2019-08-28 14:11:05, UPMCnews from company upmc tweeted. The tweet was "Organ Donation, Childhood Cancer, Virtual Reality: These topics and more in this morning's headlines from UPMC and <mention>. <hyperlink> #UPMCinnovates #H2P <hyperlink>". The most similar tweets were, 
1. On 2020-03-20 20:25:57, LFPress handle of company free tweeted. The tweet was ".<mention> follows up key medical equipment donation with protective gear <hyperlink> #ldnont #coronavirus <hyperlink>". This tweet got 164 number of likes. 
2. On 2020-12-09 10:32:21, CBCNS handle of company cbc tweeted. The tweet was "N.S. sees record number of organ donations in 2020 <hyperlink> <hyperlink>". This tweet got 70 number of likes. 
3. On 2018-06-01 04:48:19, Independent handle of company independent tweeted. The tweet was "Cancer nurse who crowdfunded own drug for the disease thanks donors for extending her life <hyperlink> <hyperlink>". This tweet got 48 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
