<|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 2020-02-07 08:00:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "Involving patients in medical research is crucial, <mention> has established platforms across several countries in #Europe🇪🇺 bringing patients, academics and industry partners together to be involved in research and development. 

Click here for more➡️ <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-18 08:04:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Alongside our colleagues in the research-based pharmaceutical industry in 🇪🇺 we are committed to ensuring the supply of innovative medicines to the patients who need them. 
Read more here: <hyperlink>
#WeWontRest <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-07-11 14:35:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Our purpose is to develop breakthroughs that change patients' lives. While doing so, we are committed to minimize our impact on the #environment. 
#EU <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-07-19 14:51:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "Our INSPIRE partnerships with NHS research centres enable us to help bring more clinical trials to the UK. <hyperlink> <hyperlink>". This tweet got 2 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
1<|im_end|>
