<|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 2020-05-08 17:00:01, GEHealthCare from company ge healthcare tweeted. The tweet was "In the UK, Nightingale, and many NHS hospitals were in need of ultrasound systems to treat #COVID19 patients. <mention> partnered with GE Power to deliver more than 700 systems and within a week, they set up a hub to fully configure and ship the systems to doctors. #GEProud <hyperlink>". The most similar tweets were, 
1. On 2020-06-12 11:59:15, GEHealthCare handle of company ge healthcare tweeted. The tweet was "When the NHS placed an order of patient monitoring equipment to help fight the #COVID19 pandemic, <mention> stepped in to support GE Healthcare.

Adopting lean methodology and following social distancing rules, the teams merged as 1 to successfully provide the vital equipment. <hyperlink>". This tweet got 41 number of likes. 
2. 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. 
3. On 2020-04-01 15:13:40, Mike_P_Williams handle of company williams tweeted. The tweet was "This is incredible. The BBC newsreader cannot hide her disbelief at the government having acquired thirty - yes, 30 - ventilators available to the UK, after the they promised 15,000 had been ordered to treat #COVIDー19 patients. It's frankly appalling.

<hyperlink>". This tweet got 141 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
49<|im_end|>
