<|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 2019-02-08 18:00:17, UPMCpolicy from company upmc tweeted. The tweet was "To promote transparency and consumer choice, <mention> will share patient satisfaction ratings and comments about doctors and advanced practice providers at <hyperlink> 

Learn more: <hyperlink> <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2019-11-11 21:40:34, IndependentNGR handle of company independent tweeted. The tweet was "Healthcare Manager Urges Practitioners To Promote Patient-Centre Care <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-04-10 07:10:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Our 2018 Annual Review is out! It's full of insightful articles and videos detailing our latest #medical #innovations and our goals for the future. Read more: <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
