The #medlibs Influencers
Top 10 Influential
![]() | @krafty 100 |
![]() | @StaceyArnesen 95 |
![]() | @nikdett 90 |
![]() | @pfanderson 84 |
@seergenius 83 | |
![]() | @AndyRoszak 80 |
@evelevemelton 64 | |
@siobhanmaire 56 | |
![]() | @cdennison84 35 |
Prolific Tweeters
![]() | @pfanderson 35 |
![]() | @nikdett 32 |
![]() | @StaceyArnesen 27 |
![]() | @krafty 25 |
![]() | @AndyRoszak 7 |
![]() | @ASawusch 5 |
@s_schulte 5 | |
![]() | @LibrarianLizy 4 |
![]() | @jeansiebert 3 |
![]() | @7shores 3 |
Highest Impressions
![]() | @pfanderson 379.0K |
![]() | @krafty 56.2K |
![]() | @nikdett 46.1K |
![]() | @StaceyArnesen 12.2K |
![]() | @AndyRoszak 11.4K |
![]() | @7shores 3.7K |
![]() | @LibrarianLizy 2.6K |
![]() | @SaraRubin 1.3K |
![]() | @ASawusch 980.0 |
@mscully66 594.0 |
The Numbers
21.766KImpressions158Tweets
17Participants
125Avg 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