<|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 2019-03-28 16:15:02, pfizer from company pfizer tweeted. The tweet was "#SleepApnea affects an estimated 18 million Americans &amp; is linked to a host of medical problems. Learn more about how sleep apnea is diagnosed and treated: <hyperlink> #GetHealthyStayHealthy <hyperlink>". The most similar tweets were, 
1. On 2019-01-27 17:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "#Illness never sleeps. Catch up on all of the latest #medical advancements on the new current affairs programme #WeWontRest <mention>  <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-10-23 12:55:52, pfizer handle of company pfizer tweeted. The tweet was "Living with #ChronicPain conditions like #osteoarthritis can be life-altering, deeply impacting people on many levels. #ACR18 <hyperlink>". This tweet got 8 number of likes. 
3. On 2018-10-04 12:00:01, pfizer handle of company pfizer tweeted. The tweet was "#Atopicdermatitis, a form of #eczema, carries physical &amp; psychological burden for patients/caregivers. Today, <mention> is bringing together experts on policy &amp; disease landscape to discuss key findings from a new global analysis
<mention> <hyperlink> <hyperlink>". This tweet got 7 number of likr 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
7<|im_end|>
