Article Figures & Data
Figures
- Figure 1.
Hashtags and their volume by month for 2017.
- Figure 2.
Connectedness and amplification: medical societies' and organizations' use of selected hashtags.
Tables
Term Description Twitter user A user who has a unique account Twitter handle/username The name and/or identity of a user on Twitter (e.g., @STFM_FM), applies to individuals as well as organizations and businesses Tweet A message limited to 280 characters posted by a Twitter user Retweet (RT) A tweet that is forwarded by a Twitter user who did not author the original tweet Follower A user who receives all of the tweets of the Twitter user account holder Hashtag A topic or event that a user wants to send a tweet about. To easily identify it, the # symbol precedes the topic word/phrase (e.g., #womenInMedicine) Tweet initial impressions The number of users who see the tweet when it is initially posted Tweet spread The number of people who see the tweet initially and after it is propagated (or retweeted) Trending Topics that—according to specific algorithms tailored to individual users, are popular at a given time. Trends are decided based on sharp spikes on a topic compared to the norm. Viral A tweet that spreads quickly to a large number of users Connectedness A measure and spatial representation of the connectivity of users and followers and the relationship between them. Hashtag Description and Curated in Healthcare Hashtags Year Hashtag Started Being Used (Volume That Year) #ilooklikeasurgeon Created by women surgeons and related to equity and equality for women in the field of surgery. (Curated in Symplur). 2013 (<5) #WomenInMedicine From a weekly tweetchat discussing issues that women face in medicine. “The goals … to provide a safe space for the respectful discussion of issues of gender in medicine … an environment that will hopefully begin to shift the culture of medicine forward.” (Curated in Symplur) 2010 (<5) #SheLeads2017 Conference hashtag of a Harvard Medical School CME/CNE course for physicians, nurses and other healthcare leaders that focuses on professional development and networking, diversity and inclusion. (Curated in Symplur). 2016 (<5) #seeitbeit About women and minority empowerment through role models of the same gender/race/ethnicity. (Not appearing on Symplur). 2010 (<5) #BlackMenInMedicine Even though it was first used in 2013, it did not gain traction until a presentation on the number of African American men in medical school in 2017. Addresses racial diversity for black males. (Curated in Symplur). 2013 (<5) #QuoteHer Related to leadership for women in medicine and science and women as experts. (Curated in Symplur.) 2009 (<50) #diversityinmedicine General catchphrase about diversity in medicine. Does not appear in Symplur. 2012 (<5) - Table 3.
Volume of Tweets and Retweets Using Diversity Hashtags from January 1 to December 31, 2017
Hashtag Total Tweets Contributors Total Retweets Initial Impressions Spread #ilooklikeasurgeon 11,582 2181 60,643 2,707,841 4,750,993 #WomenInMedicine 5094 1087 14,650 1,952,259 3,138,873 #SheLeads2017 2719 301 7607 313,693 487,490 #seeitbeit 1079 176 1519 12,861,874 13,562,133 #BlackMenInMedicine 737 151 4432 8,629,263 12,136,090 #QuoteHer 649 146 2574 163,620,576 191,576,999 #diversityinmedicine 160 142 377 13,275,032 20,028,682 Handle Diversity Tweet Volume Overall Tweets Overall Retweets Diversity Tweet Significance @aafp 0 4314 10731 0 @ACPinternists 1 1100 3299 < 1% @AmCollSurgeons 0 3050 11391 0 @AmerAcadPeds 0 1819 80404 0 @AmerMedicalAssn 4 2665 60303 < 1% @AMSANational 3 721 720 < 1% @AMWADoctors 15 272 183 6% @NationalMedAssn 0 485 471 0 @SocietyGIM 0 490 544 0 @societyofBAS 9 248 537 4% @STFM_FM 0 906 1179 0 @WomenSurgeons 209 1862 8399 11%
