<|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 2020-07-27 13:27:16, BofA_Business from company bank of america tweeted. The tweet was "The current healthcare crisis has placed an important focus on the role of the corporate #treasurer. In a recent interview, Alex Young and <mention> discuss: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-15 22:15:07, marcus handle of company goldman sachs tweeted. The tweet was "We’re excited to welcome the <mention> team, and their over one million customers, to <mention> by <mention>! Read more here: <hyperlink> <hyperlink>". This tweet got 74 number of likes. 
2. On 2018-10-12 18:15:01, CiscoPartners handle of company cisco tweeted. The tweet was "Have you registered for #Money2020 yet? This event will deliver insights and initiatives to help your #finance business. Register now: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-03-17 15:56:06, USAA handle of company usaa tweeted. The tweet was "5 tips from USAA on protecting your financial wellness during #COVID19 - <hyperlink> <hyperlink>". This tweet got 16 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
