<|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 2019-09-09 15:03:05, UPMCnews from company upmc tweeted. The tweet was "Stem Cells In Space, Breast Cancer Disparity, Vaping-Associated Lung Injuries: These topics and more in this morning's headlines from UPMC and <mention>. <hyperlink> #UPMCinnovates #H2P <hyperlink>". The most similar tweets were, 
1. On 2020-10-10 15:00:17, BoeingSpace handle of company boeing tweeted. The tweet was "The <mention> lab is providing the testing ground for a new approach in the fight against cancer. See how we've partnered with <mention> in our planet's battle against leukemia. #SpaceStation20th <hyperlink>". This tweet got 946 number of likes. 
2. On 2018-01-22 16:37:01, GEHealthCare handle of company ge healthcare tweeted. The tweet was "Manufacturing medical marvels: How a new #celltherapy platform helps scale up manufacturing to reach more #patients <hyperlink> <hyperlink>". This tweet got 81 number of likes. 
3. On 2020-05-07 18:05:31, UPSAirlines handle of company ups tweeted. The tweet was "BREAKING: <mention> is providing a $100,000 contribution to the University of Louisville to fund promising research into blocking #COVID19 from infecting human cells.

<hyperlink> <hyperlink>". This tweet got 339 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
