<|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 2020-02-25 17:00:06, UPMCPhysicianEd from company upmc tweeted. The tweet was "Research from the laboratory of Bernhard Kühn, MD, was recently featured in a January clinical implications of basic research editorial in the <mention>. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-01-31 13:54:01, pfizer_news handle of company pfizer tweeted. The tweet was "Upjohn, a division of Pfizer, is proud to partner with <mention> to advance knowledge and best practices in #NCDs that can improve care and save lives: <hyperlink> <hyperlink>". This tweet got 5 number of likes. 
2. On 2018-05-23 15:23:01, fredhutch handle of company fred hutch tweeted. The tweet was "Congratulations to our Dr. Jesse Bloom, selected as one of 19 new #HHMIInvestigators! The <mention> Investigator Program recognizes extraordinary scientists pushing the bounds of knowledge in biomedical research. <hyperlink> <hyperlink>". This tweet got 90 number of likes. 
3. On 2020-03-30 16:50:30, IBM handle of company ibm tweeted. The tweet was "IBM is offering access to evidence-based insights to help clinicians and individuals. 📊 

Learn more about Micromedex and DynaMed #COVID19 Resource Catalog: <hyperlink> <hyperlink>". This tweet got 187 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
