Registered Nurse
Publishing all scientific nursing materials from all sources and content creators Professional Nurses from all over the world R.N Magazine publishing and transmission I share with you everything useful that I read @VIP_NURSE
Show moreπ Analytical overview of Telegram channel Registered Nurse
Channel Registered Nurse (@profrn) in the English language segment is an active participant. Currently, the community unites 10 742 subscribers, ranking 2 535 in the Medicine category and 3 349 in the USA region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 10 742 subscribers.
According to the latest data from 22 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 549 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 31.20%. Within the first 24 hours after publication, content typically collects 17.41% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 348 views. Within the first day, a publication typically gains 1 868 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 13.
- Thematic interests: Content is focused on key topics such as cell, afterload, preload, disease, clotting.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βPublishing all scientific nursing materials from all sources and content creators
Professional Nurses from all over the world
R.N
Magazine publishing and transmission
I share with you everything useful that I read
@VIP_NURSEβ
Thanks to the high frequency of updates (latest data received on 23 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Medicine category.
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- Tagged "Cheater" by TelemetrioThe channel has fake views
- Verified in TelegramThe channel has been verified in Telegram
- "Scam" from TelegramTelegram has identified the channel as "Scam."
- "Fake" from TelegramTelegram has identified the channel as "Fake"
- Blocked in TelegramTelegram has banned the channel
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