- Collected a total of 10,093 tweets that had both the hashtag and Covid-19 keywords and 68,172 tweets with the hashtag but no Covid-19 content from 2809 users who generated a total of 65,513,669 impressions 
- 48.8% of tweets with #Radiology were retweeted
- 51.0% of tweets with #Radiology and Covid-19 content were retweeted 
- Tweets with Covid-19 content typically had more links to educational resources such as webinars, journal articles, and other informational sites – most shared links were medical and advocacy organizations and open-access resources
- Most popular tweets were about literature and case studies on diagnosis imaging choice
- 40.38% of tweets written by physicians, who made up 48.10% of Twitter users in the radiology community 
- Researchers were the second largest group in terms of retweets (10.84%)
- Increase in tweets and impressions without Covid-19 content after annual RSNA conferences in mid to late November
- Increase in new users mid-March tweeting about Covid-19 

Characterization of the #Radiology Twitter Conversation During the Global COVID-19 Pandemic results

- Used the number of retweets and mentions as indicators of engagement
- Ran a social media network analysis to study the relationship between specific Twitter users’ engagement and their tweet #Radiology and Covid-19 content
- Used Twitter geolocation to analyze where users engaging with these two topics were located nationally and globally 
- Used Chi-square test for categorical data

University of Michigan - Ann Arbor

- Used Symplur Signals’ Hashtag Finder tool to identify tweets between February 1 to December 31, 2020 containing the hashtag #Radiology
- From those tweets, the ones that had a Covid-19 related keyword were kept; keywords included COVID19, COVID, corona, coronavirus, pandemic, SARSCOV2, and COVID-19
- Obtained tweets, retweets, impressions, links, hashtags, and user characterizations
- Impressions are the number of possible views that each tweet could get; computed by multiplying the number of tweets by the number of followers of each user

Characterization of the #Radiology Twitter Conversation During the Global COVID-19 Pandemic data collection

Lazaga, M. K., Dowell, J. D., & Makary, M. S. (2021). Characterization of the #Radiology Twitter Conversation During the Global COVID-19 Pandemic. Current Problems in Diagnostic Radiology. https://www.sciencedirect.com/science/article/pii/S0363018821000372

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