The #medlibs Influencers
Top 10 Influential
![]() | @nikdett 100 |
![]() | @krafty 96 |
![]() | @mehlibrarian 93 |
![]() | @TonyN411 86 |
![]() | @libraryliving 86 |
![]() | @pfanderson 85 |
![]() | @KR_Barker 73 |
@kimmiep14 57 | |
![]() | @tlknott 52 |
![]() | @medlibrarian 37 |
Prolific Tweeters
![]() | @nikdett 48 |
![]() | @krafty 38 |
![]() | @pfanderson 28 |
![]() | @TonyN411 28 |
![]() | @mehlibrarian 22 |
![]() | @tlknott 16 |
![]() | @KR_Barker 12 |
![]() | @libraryliving 12 |
@kimmiep14 8 | |
![]() | @cdennison84 7 |
Highest Impressions
![]() | @pfanderson 268.9K |
![]() | @nikdett 60.9K |
![]() | @krafty 51.2K |
![]() | @kejames 10.6K |
![]() | @TonyN411 9.6K |
![]() | @mehlibrarian 6.5K |
![]() | @7shores 6.3K |
![]() | @tlknott 5.6K |
![]() | @KR_Barker 4.6K |
![]() | @libraryliving 2.2K |
The Numbers
428.104KImpressions230Tweets
14Participants
184Avg 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