Channel
@medsovetpro
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,617subscribers
-8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002158664850 |
|---|---|
| Type | Channel |
| Username | @medsovetpro |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/medsovetpro |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 19:14 | 2,617 | -3 |
| 11 Aug 2026, 10:37 | 2,620 | -4 |
| 8 Aug 2026, 00:18 | 2,624 | -1 |
| 7 Aug 2026, 04:32 | 2,625 | first reading |
17 posts held, back to 21 March 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 17 posts for this entry, the most recent from 1 April 2026. An engagement rate over an empty window would be a number about nothing.
228 reactions across 15 posts, in 12 distinct kinds. The most used accounts for 34.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 78 | 34.2% | |
| 😁 | 51 | 22.4% | |
| ❤ | 28 | 12.3% | |
| 👎 | 24 | 10.5% | |
| 😢 | 21 | 9.21% | |
| 💯 | 14 | 6.14% | |
| 👌 | 3 | 1.32% | |
| 🤓 | 3 | 1.32% | |
| 🔥 | 2 | 0.877% | |
| 🥰 | 2 | 0.877% | |
| 💔 | 1 | 0.439% | |
| 😭 | 1 | 0.439% |
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 16 of the 17 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 228reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 21 March 2026 to 1 April 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.
Важное объявление! 📢 Теперь весь основной контент будет публиковаться на сайте 👈 📍 Чтобы не пропустить анонсы новых материалов – подписывайтесь на наши сообщества: ВКонтакте MAX Спасибо, что остаётесь с нами!
👎24😢9👍8🔥2💯1
Трансплантация фекальной микробиоты может уничтожить устойчивые к лекарствам бактерии рода Pseudomonas при раке крови ✔️ У пациентов с гематологическими злокачественными новообразованиями трансплантация фекальной микробиоты (ТФМ) была связана с эффективной деколонизацией устойчивых к карбапенемам бактерий рода Pseudomonas, хорошо переносилась и приводила к уменьшению числа тяжелых инфекций вскоре после лечения. В р…
👍13❤2
Уважаемые коллеги! Предлагаем вашему вниманию новый номер журнала "Медицинский совет". 🔸 Тема очередного выпуска: Педиатрия Главный редактор выпуска – Захарова Ирина Николаевна, д.м.н., профессор, Российская медицинская академия непрерывного профессионального образования (Москва, Россия) #медицинскийсовет #научныепубликации #анонсномера #педиатрия
👍3
ИИ не лучше других методов для пациентов, обращающихся за медицинской помощью ✔️ Согласно новому исследованию, опубликованному в журнале Nature Medicine, обращение к искусственному интеллекту за информацией о медицинских симптомах не помогает пациентам принимать более взвешенные решения относительно своего здоровья, чем другие методы, такие как стандартный поиск в интернете. Авторы исследования отметили, что оно ва…
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Photo, posted without a caption
😁24
Photo, posted without a caption
😁14😢5
🔬 27 марта – 132 года со дня рождения Льва Александровича Зильбера (1894–1966), советского микробиолога, вирусолога, иммунолога, эпидемиолога, онколога, создателя советской школы медицинской вирусологии, старшего брата писателя Вениамина Каверина. В 1912 году Лев Зильбер с серебряной медалью окончил Псковскую губернскую гимназию и поступил на естественное отделение физико-математического факультета Петербургского ун…
❤13
Photo, posted without a caption
❤9
Синдром беспокойных ног вдвое чаще встречается при рассеянном склерозе ✔️ Частота развития синдрома беспокойных ног (СБН) среди пациентов с рассеянным склерозом (РС) была примерно в два раза выше, чем среди пациентов без РС, при условии подтверждения диагноза специалистом по расстройствам сна. Примечательно, что семейный анамнез СБН и поражение пирамидного тракта были наиболее сильными факторами, связанными с его ра…
👍8
Photo, posted without a caption
👍5
Зачем аптекарю огород городить Аптекарский огород – это особый сад, предназначенный для выращивания лекарственных растений, из которых готовили настои, отвары, мази и другие лекарственные формы. В эпоху, когда химически чистых лекарств ещё не существовало, почти вся медицина опиралась на растительное сырьё, поэтому такие огороды были важной частью врачебного дела. Их создавали при монастырях, госпиталях, аптеках и п…
👍14❤4
Визуализация будущих рисков для сердца помогает пациентам контролировать артериальное давление ✔️ У пациентов с артериальной гипертензией (АГ), особенно у тех, у кого повышенное давление контролировалось хуже, и в отношении которых использовался инструмент Your Heart Forecast (YHF) с информацией о 5-летнем риске развития сердечно-сосудистых заболеваний, а также ежемесячные образовательные электронные письма, наблюда…
🤓3
Showing the 12 most recent of 17 posts we hold for @medsovetpro. 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 — 774,607 of 1,345,403entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Медицинский совет” (@medsovetpro), 2,617 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/medsovetpro.
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.