<|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 2018-04-25 00:16:19, lanebryant from company lane bryant tweeted. The tweet was "Fact: <mention> treats 1.4 million patients every year. Help us support their industry-leading care and research by donating today. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-17 19:00:29, lanebryant handle of company lane bryant tweeted. The tweet was "Fact: <mention> treats patients from 50 states and 52 different countries. Help us support their groundbreaking research and donate today! <hyperlink> <hyperlink>". This tweet got 8 number of likes. 
2. On 2019-02-07 13:58:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "Some #ThursdayMotivation from our Managing Director, Ben Osborn, this morning as he shared our new strategy with the continued focus on breakthroughs that change patients’ lives #PatientsFirst 👩‍👩‍👧‍👦 <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-03-20 18:29:50, lanebryant handle of company lane bryant tweeted. The tweet was "Let us know! 📣 <hyperlink>". This tweet got 6 number of likr 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
7<|im_end|>
