<|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 2019-07-20 00:00:00, DoctorWho_BBCA from company bbc tweeted. The tweet was ""Physician, heal thyself." - The Eighth Doctor #DoctorWho <hyperlink>". The most similar tweets were, 
1. On 2019-05-21 00:44:26, TDPresentsYT handle of company td tweeted. The tweet was "<mention> I had a doctor swear by this <hyperlink>". This tweet got 176 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 2020-03-31 10:43:31, BellRibeiroAddy handle of company bell tweeted. The tweet was "Doctors are dying, 1 in 4 #NHS staff are reporting #Coronavirus symptoms, and I’m still getting dozens of communications from doctors, nurses and carers courageously remaining on the frontlines without proper #PPE.

The fact that this hasn’t been sorted is an utter disgrace. <hyperlink>". This tweet got 291 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
