<|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 2020-07-31 16:44:16, DoctorWho_BBCA from company bbc tweeted. The tweet was "A strong introduction is the key to a good first impression. #DoctorWho <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2020-02-12 17:09:56, TwitterDev handle of company twitter tweeted. The tweet was "Doctors: Googling stuff online does not make you a doctor

Developers: <hyperlink>". This tweet got 1678 number of likes. 
3. 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. 
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
