<|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 2018-11-26 19:41:20, UPMCpolicy from company upmc tweeted. The tweet was "New <mention> research suggests that the amount of sleep older adults get may adversely impact their risk of falls and fractures. #Aging

Read more: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-01-24 19:00:02, AAASouthPenn handle of company aaa tweeted. The tweet was "Older adults who experience a fall also increase their risk for a car crash. Consult a doctor about how a fall may impact your driving. #AAA <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-05-31 15:15:02, AAASouthPenn handle of company aaa tweeted. The tweet was "Older adults who experience a fall also increase their risk for a car crash. Consult a doctor about how a fall may impact your driving. <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-12-18 19:03:01, AAASouthPenn handle of company aaa tweeted. The tweet was "Older adults who experience a fall also increase their risk for a car crash. Consult a doctor about how a fall may impact your driving. <hyperlink> <hyperlink>". This tweet got 0 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
