<|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 2020-05-22 14:21:17, GEHealthCare from company ge healthcare tweeted. The tweet was "Bill Shirkey is Director of Cardiac Imaging at Naples Community Hospital in Florida. In response to #COVID19 patients facing heart implications, he and his team have developed a new “echo triage” protocol to help see more patients safely and efficiently: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-07-15 15:12:10, SiemensHealth handle of company siemens tweeted. The tweet was "Lung #ultrasound has become key in monitoring #COVID19. Due to its repeatability and portability it can play a vital role in managing the disease. #ECR2020 <hyperlink> <hyperlink>". This tweet got 156 number of likes. 
2. On 2018-06-01 15:38:09, GEHealthCare handle of company ge healthcare tweeted. The tweet was "#Cardiologists will soon be #data scientists too <hyperlink>
#cliniciansandcode <hyperlink>". This tweet got 142 number of likes. 
3. On 2020-10-02 21:51:23, SABCNews handle of company sabc tweeted. The tweet was "BREAKING NEWS: US President Trump to be moved to hospital for treatment after COVID-19 diagnosis <hyperlink>". This tweet got 121 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
48<|im_end|>
