<|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 2019-08-25 23:00:11, UPMCPhysicianEd from company upmc tweeted. The tweet was "This recent study that highlights advantages of living-donor liver transplant over deceased donor. Learn more. #LDLT <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-02-06 11:09:44, RoyalFreeNHS handle of company free tweeted. The tweet was "Heroic effort from our liver transplant team at the Royal Free Hospital who delivered three #transplants in 18 hours - a record for us. #Teamwork at its best. <hyperlink> <hyperlink>". This tweet got 342 number of likes. 
2. On 2019-07-12 15:16:03, RoyalFreeNHS handle of company free tweeted. The tweet was "We're delighted so many colleagues, patients and friends attended our event to celebrate the 2,000th liver transplant at the RFL. It's been a fantastic day! Read more about our 2,000th patient here: <hyperlink> <hyperlink>". This tweet got 49 number of likes. 
3. On 2020-06-19 14:00:01, MayoClinic handle of company mayo clinic tweeted. The tweet was "Living organ donation gives hope to those waiting for a transplant. Mayo Clinic offers resources if you are interested in helping others through living organ donation. Learn more with our Living Donor Toolkit. <hyperlink> <hyperlink>". This tweet got 61 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
