The #medlibs Influencers
Top 10 Influential
![]() | @nikdett 100 |
![]() | @pfanderson 97 |
![]() | @quasifesto 96 |
![]() | @gemmas1980 76 |
![]() | @krafty 75 |
![]() | @ASawusch 71 |
![]() | @lzipperer 70 |
![]() | @mehlibrarian 68 |
![]() | @giustini 59 |
![]() | @cdennison84 23 |
Prolific Tweeters
![]() | @pfanderson 70 |
![]() | @nikdett 37 |
![]() | @lzipperer 30 |
![]() | @quasifesto 23 |
![]() | @mehlibrarian 23 |
![]() | @krafty 21 |
![]() | @gemmas1980 14 |
![]() | @giustini 13 |
@mscully66 7 | |
![]() | @ASawusch 7 |
Highest Impressions
![]() | @pfanderson 672.2K |
![]() | @nikdett 46.9K |
![]() | @krafty 28.3K |
![]() | @giustini 22.7K |
![]() | @lzipperer 9.8K |
![]() | @mehlibrarian 6.8K |
![]() | @mandosally 5.4K |
![]() | @gemmas1980 3.7K |
![]() | @quasifesto 3.7K |
![]() | @7shores 2.5K |
The Numbers
805.286KImpressions261Tweets
16Participants
209Avg Tweets/Hour
16Avg Tweets/Participant
Twitter data from the #medlibs hashtag from to () โ Symplur.
Top 10 Influencers is determined by the SymplurRank algorithm.
#medlibs Participants













Data for #medlibs can be up to 15 minutes delayed