The #medlibs Influencers
Top 10 Influential
@ 100 | |
![]() | @nikdett 96 |
![]() | @mehlibrarian 94 |
![]() | @krafty 91 |
@libraryliving 82 | |
![]() | @pfanderson 76 |
![]() | @tlknott 66 |
![]() | @KR_Barker 66 |
@kimmiep14 65 | |
@s_schulte 36 |
Prolific Tweeters
![]() | @nikdett 48 |
![]() | @krafty 38 |
![]() | @pfanderson 28 |
![]() | @mehlibrarian 22 |
![]() | @tlknott 16 |
@libraryliving 12 | |
@kimmiep14 8 | |
![]() | @cdennison84 7 |
![]() | @7shores 5 |
@s_schulte 3 |
Highest Impressions
![]() | @pfanderson 303.2K |
![]() | @krafty 85.4K |
![]() | @nikdett 69.2K |
![]() | @kejames 35.2K |
![]() | @mehlibrarian 25.4K |
![]() | @tlknott 16.0K |
![]() | @7shores 6.2K |
![]() | @cdennison84 700.0 |
@mscully66 396.0 |
The Numbers
53.400KImpressions190Tweets
12Participants
152Avg 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