<|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 2018-10-30 00:20:02, DoctorWho_BBCA from company bbc tweeted. The tweet was "Welcome aboard, Team TARDIS. 

Get caught up with 'Arachnids in the UK' On Demand, <hyperlink> and the <mention> app &gt;&gt; <hyperlink> #DoctorWho <hyperlink>". The most similar tweets were, 
1. On 2020-01-27 20:21:03, RadioFreeSkaro handle of company free tweeted. The tweet was "We were fans of this TARDIS set. #DoctorWho <hyperlink>". This tweet got 1046 number of likes. 
2. On 2018-06-04 07:18:26, RadioFreeSkaro handle of company free tweeted. The tweet was "Doctor Who returns to BBC iPlayer - with every episode since 2005 available to watch <hyperlink> #DoctorWho <hyperlink>". This tweet got 64 number of likes. 
3. On 2020-08-05 13:49:42, RoyalFreeNHS handle of company free tweeted. The tweet was "#Shoutout to the 78 trainee doctors who are starting their first shifts across the #RoyalFreeLondon today. Welcome all! #JuniorDoctors #NHSheroes <hyperlink>". This tweet got 79 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
