<|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 2018-04-13 17:23:19, UPMCpolicy from company upmc tweeted. The tweet was "Dr. <mention> on innovating health care. #CXOTalk #HIT #hcldr <hyperlink>". The most similar tweets were, 
1. On 2018-06-05 20:42:04, PfizerCA handle of company pfizer tweeted. The tweet was "Discussing innovative approaches to healthcare w/ <mention> <mention> <mention> <mention> <mention> at #BIO2018 #OntarioBIO2018. <hyperlink>". This tweet got 7 number of likes. 
2. On 2018-01-08 06:17:39, GEHealthCare handle of company ge healthcare tweeted. The tweet was "A breakthrough partnership just made one of the most talked about health trends for 2018 a reality ➡ <hyperlink>
#PrecisionHealth 
#CriticalCare <hyperlink>". This tweet got 144 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
