<|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 2019-06-12 23:00:07, UPMCPhysicianEd from company upmc tweeted. The tweet was "Rollin Wright, MD, MPH, from <mention> discusses care for #dementia patients in a UPMC video round. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-09-25 11:22:55, David_Cameron handle of company cameron tweeted. The tweet was "With a simple retweet you can help <mention> make dementia the next big medical success story. You can change the future. #ShareTheOrange <hyperlink>". This tweet got 294 number of likes. 
2. On 2018-03-15 22:22:02, CNN handle of company cnn tweeted. The tweet was "A Parkinson's patient rocks out for his health. The band name? "The 5th Dementia" <hyperlink> <hyperlink>". This tweet got 502 number of likes. 
3. On 2018-06-26 12:42:48, David_Cameron handle of company cameron tweeted. The tweet was "As this powerful film with <mention> shows, Alzheimer's is not an inevitable part of ageing. With research, we can find a way through to beat the diseases that cause it. So please join me in supporting <mention> &amp; share this film. #DementiaUncovered <hyperlink>". This tweet got 394 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
