<|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 2018-03-08 18:30:02, FootLockerWomen from company foot locker tweeted. The tweet was "#Throwback to our event w/ #girlboss <mention> &amp; <mention>💛Fun Fact: She was born in Germany &amp; is working it worldwide!✨ #InternationalWomensDay #PresstheProgress #girlgang <hyperlink>". The most similar tweets were, 
1. On 2018-03-08 13:01:30, Pfizer_UK handle of company pfizer tweeted. The tweet was "It's #InternationalWomensDay so around the world let's all #PressforProgress to accelerate #genderparity on #IWD2018 <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
2. On 2019-09-04 10:01:00, FootySuperTips handle of company free tweeted. The tweet was "Making any changes to our Best European XI lads? 🤔 <hyperlink>". This tweet got 44 number of likes. 
3. On 2020-03-08 12:00:00, CBC handle of company cbc tweeted. The tweet was "Today is #internationalwomensday, and we're proud to be partnering with <mention> to make a commitment to better support girls through sport.

Tell us how you are helping to keep girls in sport with #icommit

For more: <hyperlink> 

<hyperlink>". This tweet got 56 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
