<|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 2018-10-17 17:00:09, UPMCPhysicianEd from company upmc tweeted. The tweet was "Ramon Bataller, MD,  reviews the predicting factors of alcoholic liver disease, and identifies current therapeutic options and management of alcoholic hepatitis. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-06-29 02:40:01, MayoClinic handle of company mayo clinic tweeted. The tweet was "A recent study found that alcohol-related #LiverDisease is on the rise. This weekend on #MayoClinicRadio, we'll discuss the problem, including binge drinking, and treatment options for liver disease. <hyperlink> <hyperlink>". This tweet got 76 number of likes. 
2. On 2019-12-06 14:24:00, pfizer handle of company pfizer tweeted. The tweet was "Meet Team #NASH, our investigational treatments that aim to target the root causes of this liver disease: <hyperlink> <hyperlink>". This tweet got 7 number of likes. 
3. On 2018-07-28 14:40:01, MayoClinic handle of company mayo clinic tweeted. The tweet was "The number of people with liver cancer is on the rise — up 43 percent since 2000, according to the Centers for Disease Control and Prevention. Could you be at risk? <hyperlink> <hyperlink>". This tweet got 68 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
