<|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 2018-11-16 14:53:05, UPMCnews from company upmc tweeted. The tweet was "National Diabetes Awareness Month, Brain Injury Research, Snow Shoveling: Headlines from UPMC and the University of Pittsburgh for Nov. 16, 2018. <hyperlink> #UPMCinnovates #H2P <hyperlink>". The most similar tweets were, 
1. On 2020-11-09 18:00:01, CNN handle of company cnn tweeted. The tweet was "Rock climbing and mountain biking are just some of the ways these frontline medical workers are taking a break from the pandemic’s frontlines thanks to First Descents: <hyperlink> <hyperlink>". This tweet got 1583 number of likes. 
2. On 2019-11-14 20:13:02, IndependentNGR handle of company independent tweeted. The tweet was "World Diabetes Day: LASUTH, Lions Clubs Screen, Treat Ikeja Residents <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-03-06 19:50:00, Independent handle of company independent tweeted. The tweet was "Skier rescued after becoming buried face-down in snow <hyperlink>". This tweet got 99 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
