<|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 2019-02-23 20:07:01, armnewsteam from company arm tweeted. The tweet was "#ARM #Research: The growth of aerosols in the lowest layers of Earth’s atmosphere suggests a large influence of ocean ecosystems in the Eastern North Atlantic | <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-25 18:27:01, armnewsteam handle of company arm tweeted. The tweet was "#ARM #Research: The growth of aerosols in the lowest layers of Earth’s atmosphere suggests a large influence of ocean ecosystems in the Eastern North Atlantic | <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-12-10 18:07:01, armnewsteam handle of company arm tweeted. The tweet was "Robert Wood of <mention> uses #ARMdata to analyze aerosol, cloud, and precipitation interactions over the Eastern North Atlantic | #AGU18: A13D-02, Dec. 10, 1:55 pm, Room 152A | #ARMAGU #ASR supported | <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-11-09 21:07:01, armnewsteam handle of company arm tweeted. The tweet was "Recent #ARM field campaigns are shedding light on cloud and aerosol properties over the remote and stormy Southern Ocean: <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
1<|im_end|>
