Telegram RegisterThe public register of Telegram
Telegram profile photo for Эфферон

Channel

Эфферон

@efferon

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

670subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001652868196
TypeChannel
Username@efferon
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live21 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/efferon

Growth

669670669.57 August 2026 — 669 subscribers8 August 2026 — 669 subscribers21 August 2026 — 670 subscribers7 August 202621 August 2026
3 measurements spanning 14 days, net +1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 669–670 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 06:47670+1
8 Aug 2026, 02:33669no change
7 Aug 2026, 12:51669first reading

Engagement

7 posts held, back to 18 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 14 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

145 reactions across 7 posts, in 9 distinct kinds. The most used accounts for 31.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4531.0%
👍4430.3%
2920.0%
👏117.59%
🙏74.83%
🆒42.76%
💯32.07%
10.69%
🤔10.69%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 7 of the 7 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 145reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 18 June 2026 to 14 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

14 Jul 2026, 15:04 UTC358 views19 reactionsread 8 August 2026
Photo

Эфферон во Владивостоке: 26–27 июня прошла VI Дальневосточная конференция Безопасность в анестезиологии и интенсивной терапии Алексей Владимирович Верещагин, главный внештатный специалист МЗ Пермского края по анестезиологии-реанимации у беременных, рассказал о современных возможностях мониторинга пациентов с использованием технологий point-of-care, а также о роли мультимодальной гемосорбции в комплексной терапии кри

🔥9👍72🤔1

10 Jul 2026, 08:42 UTC382 views16 reactionsread 8 August 2026
Forwarded from @adarnewsPhoto

29 мая в Санкт-Петербурге прошел мастер-класс «Оценка показателей центральной гемодинамики в педиатрическом ОРИТ». Мероприятие состоялось в рамках X Национального конгресса с международным участием «Здоровые дети — будущее страны» ❗В центре внимания были современные подходы к прикроватной оценке гемодинамики у детей в критических состояниях. В практической части участники работали с неинвазивными методами мониторин

🔥6🆒4💯3👍2👏1

1 Jul 2026, 15:32 UTC421 views24 reactionsread 8 August 2026
Photo

Два дня, два мероприятия, десятки специалистов: Эфферон в Красноярске 19 июня на базе Красноярской краевой детской больницы прошел обучающий семинар Экстракорпоральная детоксикация в педиатрии. Илья Владимирович Турищев, заведующий отделением реанимации и интенсивной терапии ДГКБ Святого Владимира, и Александр Игоревич Шелехов-Кравченко, медицинский директор Эфферон, обсудили современные подходы к лечению сепсиса у

👍107🔥7

1 Jul 2026, 14:19 UTC382 views27 reactionsread 8 August 2026

Эфферон сменил рейтинговое агентство По итогам планового пересмотра рейтингового покрытия ПАО «Эфферон» приняло решение перейти к сотрудничеству с новым рейтинговым агентством. С 1 июля 2026 года Национальное рейтинговое агентство (НРА) присвоило Компании кредитный рейтинг BB-|ru| со стабильным прогнозом. Рейтинг ruBB агентства «Эксперт РА» прекращён в связи с окончанием договора. Компания открыто отмечает, что на

👍128🙏7

25 Jun 2026, 15:33 UTC395 views20 reactionsread 8 August 2026
Photo

На следующей неделе Эфферон примет участие сразу в двух мероприятиях в Архангельске 30 июня и 1 июля пройдет мастер-класс "Современные экстракорпоральные технологии при критических состояниях в акушерстве" при участии Алексея Владимировича Верещагина и Михаила Юрьевича Кирова. А уже 2 и 3 июля состоится Одиннадцатый Беломорский симпозиум. В программе несколько докладов, посвященных интенсивной терапии, сепсису и эк

9🔥6👍3👏2

22 Jun 2026, 15:03 UTC533 views23 reactionsread 8 August 2026
Photo

Устный доклад о результатах многоцентрового исследования ЛАССО НЕО вошёл в научную программу ESPNIC 2026, ежегодного конгресса Европейского общества педиатрической и неонатальной интенсивной терапии, который собирает ведущих специалистов детской реанимации со всего мира. Результаты представил Михаил Александрович Русак, заведующий отделением анестезиологии, реанимации и интенсивной терапии ДГКБ №1. ЛАССО НЕО подтве

👍10🔥7👏6

18 Jun 2026, 15:34 UTC518 views16 reactionsread 8 August 2026

Когда начинать гемосорбцию у критически тяжелых пациентов? Профессор Жолт Молнар (Университет Земмельвайса, Венгрия) делится своим взглядом на один из ключевых вопросов интенсивной терапии. По его мнению, решение о начале гемосорбции должно основываться прежде всего на клинической картине пациента, а не только на лабораторных показателях. Главным сигналом к началу терапии он считает сохраняющуюся гемодинамическую н

🔥103👏21

Showing the 7 most recent of 7 posts we hold for @efferon. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 1,261,568 of 1,602,887entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Эфферон” (@efferon), 670 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/efferon.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.