<|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 2018-11-08 17:00:13, UPMC from company upmc tweeted. The tweet was "Have a safe hospital stay with these tips. <hyperlink>". The most similar tweets were, 
1. On 2020-11-02 16:49:16, RoyalFreeNHS handle of company free tweeted. The tweet was "#Hospital is back…

Monday 9 November at 9pm

<mention> <mention> <mention> <hyperlink>". This tweet got 68 number of likes. 
2. On 2020-11-23 21:35:18, RoyalFreeNHS handle of company free tweeted. The tweet was "We’d like to remind patients that we're open and have not forgotten you. If you have an upcoming #hospital appointment/operation, please attend as planned. It’s vital you access the care you need. We’re taking extra precautions to keep our hospitals safe: <hyperlink> <hyperlink>". This tweet got 45 number of likes. 
3. On 2020-11-01 01:41:58, cnnphilippines handle of company cnn tweeted. The tweet was "Take note of these emergency hotlines. Stay safe, everyone! #RollyPH ⛈️<hyperlink> <hyperlink>". This tweet got 7261 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
