<|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 2018-07-16 12:01:19, bbcpress from company bbc tweeted. The tweet was "Meet the Doctor’s new friend, Yaz. #Doctorwho <hyperlink>". The most similar tweets were, 
1. On 2018-04-22 15:22:02, GEHealthCare handle of company ge healthcare tweeted. The tweet was "For this doctor, house visits give him the opportunity to build a relationship with his #patients <hyperlink>
<mention> <hyperlink>". This tweet got 210 number of likes. 
2. 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. 
3. On 2018-07-12 17:01:49, RadioFreeSkaro handle of company free tweeted. The tweet was "One week from today, the <mention> panel at <mention> will be in Hall H. It will be the official public launch of a whole new era of #DoctorWho. We'll meet the cast, we may see a trailer, and who knows what else over the course of the weekend. Get ready. <hyperlink>". This tweet got 49 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
