The #medlibs Influencers
Top 10 Influential
![]() | @pfanderson 100 |
![]() | @quasifesto 95 |
![]() | @aldricham 94 |
![]() | @mehlibrarian 90 |
![]() | @s_schulte 84 |
![]() | @nikdett 74 |
![]() | @krafty 69 |
![]() | @mascher 66 |
![]() | @howval 61 |
![]() | @BrianSMcGowan 47 |
Prolific Tweeters
![]() | @pfanderson 58 |
![]() | @mehlibrarian 42 |
![]() | @nikdett 31 |
![]() | @mascher 22 |
![]() | @quasifesto 14 |
![]() | @s_schulte 12 |
![]() | @7shores 10 |
![]() | @TBrigham 8 |
![]() | @krafty 7 |
![]() | @hbrarian 6 |
Highest Impressions
![]() | @pfanderson 557.0K |
![]() | @nikdett 39.3K |
![]() | @FutureDocs 16.1K |
![]() | @mascher 15.0K |
![]() | @Karoli 14.4K |
![]() | @7shores 12.7K |
![]() | @mehlibrarian 12.5K |
![]() | @JaneBozarth 10.1K |
![]() | @krafty 9.4K |
![]() | @SafetyNurse 8.0K |
The Numbers
717.789KImpressions239Tweets
28Participants
191Avg Tweets/Hour
9Avg 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