<|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 2018-02-20 16:40:13, UNICEF from company unicef tweeted. The tweet was "A safe pair of hands dramatically increases a newborn’s chances of survival. 

Help us make the 🌍 a safer place for mothers and their babies → <hyperlink>

#EveryChildALIVE <hyperlink>". The most similar tweets were, 
1. On 2019-06-11 06:00:24, CiscoSaudia handle of company cisco tweeted. The tweet was "See how we can help reduce babies’ risk of infection and increase their chances of survival with #collaboration solutions: <hyperlink> #healthcare <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-06-11 06:00:44, ciscomiddleeast handle of company cisco tweeted. The tweet was "See how we can help reduce babies’ risk of infection and increase their chances of survival with #collaboration solutions: <hyperlink> #healthcare <hyperlink>". This tweet got 2 number of likes. 
3. On 2019-04-10 20:30:01, CiscoCollab handle of company cisco tweeted. The tweet was "Discover how a small wearable device is saving newborn babies in Uganda: <hyperlink> <hyperlink>". This tweet got 3 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
