<|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 2018-07-12 22:56:01, PhilipsHealth from company philips tweeted. The tweet was "What percentage of people report that their physicians ask about their goals and concerns for their #health? <hyperlink>". The most similar tweets were, 
1. On 2019-07-01 07:30:00, Pfizer_Ireland handle of company pfizer tweeted. The tweet was "Only 4% of people rate their health 10 out of 10 yet 63% of people rate it 7 or more out of 10 #PfizerIndex19 <hyperlink> <hyperlink>". This tweet got 7 number of likes. 
2. On 2020-01-17 16:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Medicines account for 1/6 of total healthcare spending in #Europe 🇪🇺. Read about our work to develop value-based health systems and improve access for all 👇

<hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-03-28 16:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Ensuring #patient access to medical cures "must be a shared responsibility between pharmaceutical companies and healthcare systems, and there must be greater willingness on both sides to explore new ways of working together" 🤝

<hyperlink> <hyperlink>". This tweet got 1 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
