<|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 2020-04-17 09:02:00, BBCScotland from company bbc tweeted. The tweet was "Once again last night, people all over the country gathered to applaud those working to beat #coronavirus. 👏

Via <mention> // #ClapForTheNHS // #ClapForCarers // #ClapForOurCarers 👏 <hyperlink>". The most similar tweets were, 
1. On 2020-05-14 19:00:34, ASPolice handle of company avon tweeted. The tweet was "Tonight, we are once again supporting #ClapForCarers and #ClapForKeyWorkers with a massive round of applause to say thank you to everyone working tirelessly throughout the pandemic 👏#Covid19 <hyperlink>". This tweet got 49 number of likes. 
2. On 2020-03-23 17:45:00, Independent handle of company independent tweeted. The tweet was "NHS workers applauded at supermarket for their work during the coronavirus outbreak <hyperlink>". This tweet got 1614 number of likes. 
3. On 2020-03-23 11:30:41, Independent handle of company independent tweeted. The tweet was "NHS workers applauded at supermarket for their work during the coronavirus outbreak <hyperlink>". This tweet got 325 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
