<|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 2018-12-12 17:05:53, NovartisScience from company novartis tweeted. The tweet was "Thanks to our teams in and outside of the lab, we were honored to be named a <mention> 2018 Top Employer. #ProudMoments <hyperlink>". The most similar tweets were, 
1. On 2018-02-01 07:00:13, Novartis handle of company novartis tweeted. The tweet was "Join us in giving a warm welcome to <mention>, who from today is the new CEO of Novartis. Congrats Vas! #NovartisNews <hyperlink>". This tweet got 431 number of likes. 
2. On 2018-02-04 14:00:03, Novartis handle of company novartis tweeted. The tweet was "On #WorldCancerDay, we are proud to work tirelessly with amazing groups like the <mention> <mention> and <mention> to help improve access to cancer care across the globe. #WeCanICan #NovartisAccess <hyperlink> <hyperlink>". This tweet got 51 number of likes. 
3. On 2018-10-04 19:42:19, NovartisScience handle of company novartis tweeted. The tweet was "We celebrated our R&amp;D award winners for their accomplishments in #drugdiscovery. Congrats to our teams!  👩‍🔬👨‍🔬 <hyperlink>". This tweet got 58 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
87<|im_end|>
