<|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 2019-03-15 21:06:00, AMCTheatres from company amc tweeted. The tweet was "#DYK <mention> is the executive producer of the latest #NancyDrew movie starring <mention>? Get tix to see Nancy Drew and the Hidden Staircase this weekend at AMC! 🔎 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-07 18:10:00, AMCTheatres handle of company amc tweeted. The tweet was "#NancyDrew is back! This time as <mention>. Check out the #trailer for Nancy Drew and the Hidden Staircase. Coming to theatres in March! <hyperlink>". This tweet got 35 number of likes. 
2. On 2019-01-10 02:30:00, AMCTheatres handle of company amc tweeted. The tweet was "Take a look at the trailer for <mention> starring #DevPatel and <mention> - opening in March. <hyperlink>". This tweet got 31 number of likes. 
3. On 2019-02-08 19:26:00, AMCTheatres handle of company amc tweeted. The tweet was "We finally find out <mention>. Ok, not really. But we do hear from the hilarious cast of <mention> newest comedy. Take a peek! Tix: <hyperlink> <hyperlink>". This tweet got 16 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
53<|im_end|>
