🎓Официальный канал Международной Ассоциации врачей UniProf в области интегративной и доказательной медицины
Номер регистрации https://gosuslugi.ru/snet/67a486f8d6fa92100ed631fd
Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 65% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
32 measurements spanning 42 days, net -317. 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 32,039–32,452 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 23:55
32,087
-11
15 Sept 2026, 19:40
32,098
-14
14 Sept 2026, 00:21
32,112
-15
12 Sept 2026, 08:01
32,127
-16
10 Sept 2026, 02:59
32,143
-22
6 Sept 2026, 18:41
32,165
-33
4 Sept 2026, 06:36
32,198
-11
2 Sept 2026, 20:57
32,209
-11
1 Sept 2026, 18:09
32,220
-5
31 Aug 2026, 18:38
32,225
-12
30 Aug 2026, 15:06
32,237
-16
29 Aug 2026, 12:46
32,253
-5
28 Aug 2026, 13:54
32,258
-2
27 Aug 2026, 17:08
32,260
+2
26 Aug 2026, 15:38
32,258
-5
25 Aug 2026, 14:03
32,263
-14
24 Aug 2026, 10:27
32,277
-12
22 Aug 2026, 19:52
32,289
-10
21 Aug 2026, 06:34
32,299
-10
20 Aug 2026, 06:53
32,309
first reading
Engagement
127 posts held, back to 1 August 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 75 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.84%
avg views ÷ 32,087 subscribers
Avg views / post
911
62 posts measured
Reaction rate
1.03%
reactions ÷ views · ER floor
Posts in window
62
of 127 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 55 of 62 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 September 2026
Posts held
127 (1 August 2026 – 24 September 2026)
Views total
56,464
Reactions total
517
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 06:54 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈1,460
Videos
≈185
Links
≈907
Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
30m 36s
Average length
2m 33s
Measured directly from 12 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,015 reactions across 109 posts, in 10 distinct kinds. The most used accounts for 48.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
493
48.6%
🔥
376
37.0%
❤🔥
93
9.16%
👍
40
3.94%
🙏
6
0.591%
🎉
2
0.197%
🤔
2
0.197%
👌
1
0.099%
😁
1
0.099%
😱
1
0.099%
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 111 of the 127 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 1,015 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 127 most recent posts we hold, published 1 August 2026 to 24 September 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 127 we hold a reading for · 0.8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @uniprof_med. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 127 most recent posts we hold for this entry, published 1 August 2026 to 24 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Доброе утро! ☀️
Уже сегодня состоится онлайн-встреча «Частые ошибки при назначении БАД».
24 сентября в 17:00 МСК
Во время встречи у вас будет возможность задать вопросы Эльмире Александровне и получить ответы в прямом эфире.
Пока мы ждём эфир, предлагаю написать в комментариях, какой вопрос вы бы задали нашему эксперту по актуальной теме 👇
⚠️ Ссылку для подключения я отправлю в 16:00 МСК, чтобы у вас было время …
Пока мы продолжаем готовиться к завтрашнему эфиру на тему «Частые ошибки при назначении БАД», эксперты UniProf предлагают обратить внимание на один из самых обсуждаемых витаминов - витамин D.
Термин «гипервитаминоз» означает нарушения, возникающие при поступлении сверхвысоких доз витамина, фактически витаминную интоксикацию. Получить такое количество витаминов только с пищей крайне маловероятно. Чаще причиной станов…
В комментариях и других наших социальных сетях коллеги рассказывают о похожих случаях. И становится очевидно: история, о которой мы рассказали утром, - далеко не единичная.
Пациенты самостоятельно выбирают БАД, комбинируют несколько средств и меняют дозировки, не всегда учитывая возможные риски.
Как избежать подобных ошибок и на что обращать внимание при назначении БАД?
Поговорим об этом на онлайн-встрече «Частые …
БАД привели к отказу печени
В Воронеже врачи спасли 42-летнюю женщину, у которой после приёма комплекса БАД для похудения и «чистки печени» развились токсический гепатит и печёночная недостаточность III степени.
В течение месяца женщина принимала несколько добавок, а затем самостоятельно увеличила дозировку, полагая, что это не навредит.
🚨 В результате потребовалась экстренная госпитализация, и целый месяц женщина…
Спасибо всем за ваши комментарии 🩵
Как и обещала, хочу поделиться с вами полезным материалом, подготовленным нашими экспертами UniProf.
Это гайд «10 продуктов - источников магния» - небольшая практическая подборка продуктов, которые помогут разнообразить рацион и увеличить потребление магния с пищей.
Ниже прикрепила PDF, сохраняйте, чтобы держать под рукой. 👇
Но здесь хочется обратить ваше внимание на один важный…
Живя в семье врачей, для меня стало кое-что нормой
Моя бабушка - врач, мама - врач. Сколько себя помню, дома всегда были медицинские журналы, книги, разговоры о работе и учёбе.
Для меня было нормой видеть: врач учится всю жизнь.
Сейчас в UniProf мы часто спрашиваем наших слушателей: «Зачем вы продолжаете учиться?»
И недавно услышали мысль, которая меня очень зацепила:
если врач перестаёт учиться, со временем он …
Вижу ваш интерес к теме БАД. И пока мы ждём выступления Эльмиры Александровны Эдиевой, эксперты UniProf предлагают познакомиться ближе с одним из самых обсуждаемых нутриентов - Омега-3.
✨Омега-3 полиненасыщенные жирные кислоты (далее — ПНЖК) выполняют в организме человека ряд важных функций. Они помогают поддерживать стабильность и текучесть клеточных мембран, участвуют в передаче биохимических сигналов между клетка…
Благодарю Вас за участие опросе! ❤️
Назначение БАД, по словам экспертов UniProf - это не только выбор подходящего препарата. На практике возникает немало нюансов: как определить необходимость назначения, подобрать дозировку, сочетать несколько препаратов и учитывать лекарственную терапию.
Именно такие ситуации и разберём на предстоящем эфире - с фокусом на частые ошибки и практические моменты, которые важно учитыва…
В пятницу я затрагивала интересную тему - абдоминальный жир: почему жировая ткань может накапливаться преимущественно в области живота и какие факторы могут быть с этим связаны.
❓Но закономерно возникает следующий вопрос: что происходит, когда человек уже сократил калорийность рациона, а вес всё равно не снижается?
Ответ: Целевой дефицит калорий часто лежит в основе подходов к снижению массы тела. Но на практике бы…
Несколько недель назад в UniProf прошёл интенсив «Алгоритм работы с анемией» с Еленой Юрьевной Барсуковой, который получил очень тёплый отклик среди врачей 🩷
Сейчас мы открыли возможность получить лекции и материалы.
Внутри: две лекции с последовательным разбором темы анемии: от метаболизма железа и возможных причин дефицита до вопросов питания, нутриентов, препаратов железа и дальнейшей тактики.
Стоимость доступа…
❤6
Showing the 12 most recent of 127 posts we hold for @uniprof_med. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@uniprof_med edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
1 September 2026
Most recent edit
1 September 2026
Forward network
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Дадали В.А. Школа здоровья @putkzdoroviyu · 31,794 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 6 September 2026
Академия Нутрициологии @nsa_academy · 63,573 Telegram ranks this channel #24 of 97 here — alongside 96 others — read 21 August 2026
Доктор Марина Мальцева|🌿Интегративная медицина @mvmaltseva · 40,441 Telegram ranks this channel #26 of 82 here — alongside 81 others — read 30 August 2026
Доктор Павлов @doc_gastro_life · 77,348 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 19 August 2026
Первая Школа Биохакинга | Здоровье @pervayashkola · 23,940 Telegram ranks this channel #33 of 90 here — alongside 89 others — read 17 September 2026
Доктор Егоров @doctorilyaegorov · 33,122 Telegram ranks this channel #33 of 92 here — alongside 91 others — read 4 September 2026
Ешьте Головой: стань стройной и энергичной с нами 👑 @doctorayupovat · 30,949 Telegram ranks this channel #35 of 74 here — alongside 73 others — read 6 September 2026
Клуб нутрициологов @miin_ankz · 50,066 Telegram ranks this channel #36 of 97 here — alongside 96 others — read 25 August 2026
Полезные заметки доктора Голевой @zametkidoctora · 47,021 Telegram ranks this channel #39 of 90 here — alongside 89 others — read 6 September 2026
Здоровье с Екатериной Новиковой @katerina_dietolog · 50,481 Telegram ranks this channel #39 of 94 here — alongside 93 others — read 25 August 2026
detsdoc | здоровье & Remee+ @detsdoc · 59,048 Telegram ranks this channel #40 of 91 here — alongside 90 others — read 22 August 2026
УРОЛОГИЯ И МЕДИЦИНА - доктор Гадзиян. @urolog_mark · 27,443 Telegram ranks this channel #42 of 90 here — alongside 89 others — read 10 September 2026
Гастроэнтеролог Ольга Помойнецкая @olga_pomoynetskaya · 252,547 Telegram ranks this channel #42 of 92 here — alongside 91 others — read 10 August 2026
⚕️ Дмитрий Семирядов️️ / Превентивный врач, нутрициолог / dsemiryadov @dsemiryadov_official · 76,593 Telegram ranks this channel #43 of 85 here — alongside 84 others — read 19 August 2026
ДЕТОКСКАФА @detoxkafa · 27,225 Telegram ranks this channel #51 of 87 here — alongside 86 others — read 11 September 2026
Клиника Калинченко @kalinchenko_dlya_pacientov · 40,399 Telegram ranks this channel #51 of 91 here — alongside 90 others — read 30 August 2026
Доктор Евстигнеева @evstigneeva_gastro · 26,808 Telegram ranks this channel #59 of 92 here — alongside 91 others — read 11 September 2026
Юсипова - системная медицина! @yusipovacom · 54,288 Telegram ranks this channel #67 of 89 here — alongside 88 others — read 24 August 2026
Здравомыслие в еде @zdravomislievede · 31,498 Telegram ranks this channel #73 of 97 here — alongside 96 others — read 6 September 2026
Елена Пятибрат. Авторский проект @Lena_Pyatibrat · 36,970 Telegram ranks this channel #73 of 86 here — alongside 85 others — read 1 September 2026
Заметки невролога Овсянникова КС @zametki_nevrologa · 71,593 Telegram ranks this channel #74 of 85 here — alongside 84 others — read 20 August 2026
MOLODAY|здоровье в любом возрасте @MolodayHealth · 28,976 Telegram ranks this channel #84 of 89 here — alongside 88 others — read 17 September 2026
Ирина Баранова🇷🇺 Врач anti-age @baranovaia · 31,476 Telegram ranks this channel #88 of 92 here — alongside 91 others — read 6 September 2026
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“UniProf для врачей” (@uniprof_med), 32,087 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/uniprof_med.
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.