<|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 2018-07-19 23:18:06, BBCAMERICA from company bbc tweeted. The tweet was "Meet the team.
<mention> #DoctorWho #SDCC Panel Highlight <hyperlink>". The most similar tweets were, 
1. On 2020-11-23 19:55:57, RoyalFreeNHS handle of company free tweeted. The tweet was "So who's joining us tonight for new #Hospital? 

See you at 9pm on <mention>.

<mention> <mention> <mention> <hyperlink>". This tweet got 46 number of likes. 
2. On 2018-07-19 19:38:35, RadioFreeSkaro handle of company free tweeted. The tweet was "#DoctorWho - The Universe is Calling <hyperlink>". This tweet got 50 number of likes. 
3. On 2019-04-05 04:37:02, METROFMSA handle of company sabc tweeted. The tweet was "We’re hanging out with with the good Doctor .<mention> on Triple F🙌🏾
#FamousFreshFridays 
#FreshBreakfast <hyperlink>". This tweet got 772 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
