<|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 2019-07-12 08:45:10, Siemens_Energy from company siemens tweeted. The tweet was "Learn how #Malta’s society benefits from affordable, reliable &amp; more #SustainableEnergy: <hyperlink> #BusinessToSociety <hyperlink>". The most similar tweets were, 
1. On 2020-04-08 07:22:36, SiemensGamesa handle of company siemens tweeted. The tweet was "So that we can continue to generate clean, efficient and safe energy, we ask only one thing: #StayHome! 🏠
A big thanks to all those who continue to work so that others can be safe 💪
#TogetherWeWillSuceed <hyperlink>". This tweet got 41 number of likes. 
2. On 2018-08-30 14:30:40, Siemens_Energy handle of company siemens tweeted. The tweet was "Welcome to #green country: By 2050, #Denmark aims to have 100% #renewable #energy and one of the most stable #electricity supplies in the world: <hyperlink> #CIGRE <hyperlink>". This tweet got 704 number of likes. 
3. On 2019-04-25 22:35:01, CiscoCloud handle of company cisco tweeted. The tweet was "How do #sustainability and #innovation go together when it comes to saving the 🌍? <hyperlink> <hyperlink>". This tweet got 1 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
6069<|im_end|>
