<|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 2018-05-03 16:05:11, USAIDGH from company usaid tweeted. The tweet was "The side effect of US investment in #globalhealth drugs &amp; vaccines? American jobs, economic growth, and protection against health threats. Learn how #globalhealth R&amp;D is benefiting your state <mention>: <hyperlink> 
#innovate4health <hyperlink>". The most similar tweets were, 
1. On 2019-04-04 07:15:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Did you know about all of these benefits of #vaccines and #vaccination? ⬇️Share <mention>'s call for action because every stakeholder has a role to play in protecting European citizens against Vaccine Preventable Diseases #VaccinesWork #2019 <mention> <hyperlink> <hyperlink>". This tweet got 6 number of likes. 
2. On 2019-09-17 15:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "👨🏽‍🔬 #Vaccines are subject to a lengthy and costly development process – a strong #IP framework and R&amp;D incentives are crucial in keeping #innovation alive 👨‍🔬 <mention>
<hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-02-07 16:00:01, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "RT from <mention> 

There is a clear link between increased healthcare expenditure and #AntiMicrobialResistance. We all need to play our part in responding to this threat and it's potential impacts <mention> #WeWontRest 

<hyperlink> <hyperlink>". This tweet got 1 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
