This research letter is published online ahead of print in the American Journal of Emergency Medicine. It reviews some of the Twitter statistics from the American College of Emergency Physicians 2010 Scientific Assembly and the Society for Academic Emergency Medicine 2011 Annual meeting.
It also raises the idea of the metric of individual user, original tweets, and original tweet per individual user for evaluating Twitter volume during conferences.
The citation and a pre-production pdf version for those who do not have journal access is: Nomura JT, Genes N, Bollinger HR, Bollinger M, Reed JF 3rd. Twitter Use During Emergency Medicine Conferences. Am J Emerg Med. Epub ahead of print. PMID 22424992.
This is an expanded version of the table with data points that were not included in the letter due to some requested edits and length.
|
#SA10 |
#SAEM11 |
p value |
|
| Attendance | 5,952 | 2,360 | |
| Total Twitter accounts (percentage of attendees) | 113 (1.9%) | 73 (3.0%) | p=0.001 |
| Total Tweets | 846 | 766 | |
| Original Tweets | 428 | 514 | |
| Individual Tweeters | 31 | 37 | |
| Average Original Tweet per Individual User, with SD | 13.8+45.0 | 13.9+27.6 | P=0.990 |
| High Volume Tweeters | 7 | 12 | |
| Original Tweets by High Volume Users | 379 (88.6%) | 427 (83.1%) | P=0.017 |
| Original Social Tweets | 74 (16.8%) | 45 (8.8%) | p=0.002 |
| Original Session-Related Tweets | 347 (78.7%) | 437 (85.2%) | p=0.009 |
| Original Logistic Tweets | 20 (4.5%) | 31 (6.0%) | p=0.302 |
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