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Channel

Dr. Симаков 🧠|Нейрогастроэнтеролог

@drsimakov

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

6,243subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002054518661
TypeChannel
Username@drsimakov
DescriptionСимаков Андрей Александрович - врач-нейрогастроэнтеролог, УЗ-диагност. Очные консультации: +37353361818 Онлайн-консультации: taplink.cc/gastrodoc
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/drsimakov

Growth

6,2426,2436,242.57 August 2026 — 6,242 subscribers7 August 2026 — 6,242 subscribers10 August 2026 — 6,243 subscribers7 August 202610 August 2026
3 measurements spanning 4 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 6,242–6,243 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 22:176,243+1
7 Aug 2026, 21:426,242no change
7 Aug 2026, 06:166,242first reading

Engagement

13 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.6%
avg views ÷ 6,243 subscribers
Avg views / post
727
13 posts measured
Reaction rate
3.24%
reactions ÷ views · ER floor
Posts in window
13
of 13 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held13 (3 August 202610 August 2026)
Views total9,448
Reactions total306
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:23 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
1,120
Videos
66
Links
412

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Reaction mix

306 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 53.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16353.3%
🤡6621.6%
😁237.52%
🤣144.58%
😢103.27%
🔥92.94%
👍61.96%
❤‍🔥41.31%
😱30.98%
🙉30.98%
🤯30.98%
🐳10.327%
🫡10.327%

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 13 of the 13 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 306reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 3 August 2026 to 10 August 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

10 Aug 2026, 20:41 UTC497 views30 reactionsread 12 August 2026

🧠 Хоть КПК не убрал Трамп подписал указ о сокращении числа прививок, рекомендованных всем детям, с 17 до 11 Из списка исключили вакцины против гепатита А и В, менингококковой инфекции, ротавируса, гриппа и COVID-19. Эти прививки будут рекомендованы только детям из группы риска.  Не, ну а что, гепатит В побежденная инфекция, гепатит А тоже. Менингококк тоже. Всё-таки, анти-ваксерское лобби додавило, не так давно Р

18😢10😁2

7 Aug 2026, 15:34 UTC≈1,460 views22 reactionsread 12 August 2026
Photo

🧪 Осторожно, висмут. Висмут-ассоциированная гастропатия? Многие, кто обращался к врачам пили препараты висмута. Тот самый "Де-Нол", "Улькавис", "Новобисмол" и прочее всякое. Тот самый, который вызывает серый стул. В настоящее время у него крайний узкий спектр применения, но его любят писать всем, при запорах, диареях, болях в животе, вздутии живота, повышенном давлении, бронхите и вообще кашу висмутом не испортишь.

17😱3🐳1🫡1

7 Aug 2026, 06:13 UTC788 views32 reactionsread 12 August 2026

🩺Аутоиммунный гастрит и лекарства. Всё проще, чем кажется. 4. Ингибиторы протонной помпы, P-CAB и H2RA - казалось бы можно, а зачем? Кислоты же нет. Во-первых кислотопродукция не подавляется сразу и полностью. Её количество даже на фоне аутоиммунного гастрита может быть в ощутимых количествах, особенно при раннем аутоиммунном гастрите. Во-вторых - мишени могут быть другими. Сферический пример в вакууме - у пациента

20😁11👍1

7 Aug 2026, 06:13 UTC624 views13 reactionsread 12 August 2026
Photo

🩺Аутоиммунный гастрит и лекарства. Всё проще, чем кажется. Для ряда принимаемых препаратов может действительно потребоваться коррекция дозы, некоторые препараты как знаем приходится вводить постоянно, а точнее с определенной регулярностью. Вот что важно принять и запомнить: 1. Пероральные таблетки железа и витамина В12. Падение количества кислоты с одной препятствует восстановлению негемового железа из формы Fe3+

13

5 Aug 2026, 16:14 UTC398 views6 reactionsread 12 August 2026
Forwarded from @neurogastroenterology

Posted without readable text

4❤‍🔥2

4 Aug 2026, 08:58 UTC784 views29 reactionsread 12 August 2026
Photo

🙈Всё. Теперь точно всё. Исследования H.Pylori не основываются на анатомии желудка, поисках онкогенного фактора, патофизиологии. Не на чем не основываются. Просто по приколу деньги пилим. И вообще, зачем те исследования. #сияниеразума #свежиемысли

🤡11😁10🤯3🙉32

4 Aug 2026, 06:34 UTC787 views25 reactionsread 12 August 2026
Photo

😂 Обстановка накаляется. Перечитал Карлоса Кастаньеды. Клоун #сияниеразума #свежиемысли

🤣14🤡65

4 Aug 2026, 06:03 UTC785 views55 reactionsread 12 August 2026
Photo

😂 Аутоиммунного гастрита не существует. Поняли? Расходимся. Кто хочет побеседовать с данным чудом - милости прошу сюда. Человек, если что, называет себя неврологом и автором нового направления в медицине. Человек вчера представился шарлатаном, оно и видно 🤡 - 100 клоунов человеку, он заслужил #сияниеразума #свежиемысли

🤡494👍2

3 Aug 2026, 16:26 UTC787 views17 reactionsread 12 August 2026

☕️ Дорогие друзья, рекомендую к прочтению свежайшие данные о вреде кофе при заболеваниях сердца Автор — моя коллега из Express Doctor, Наталья Валерьевна Поленова — кандидат медицинских наук, кардиолог, диетолог, терапевт, многолетний старший научный сотрудник Института Питания, преподаватель курсов НМО для врачей. Я сам на неё подписан, чтобы не пропускать новые актуальные исследования!

10👍3❤‍🔥2🔥2

3 Aug 2026, 15:57 UTC783 views33 reactionsread 12 August 2026

❤️‍🔥Зажжём огни Классика жанра, ночной звонок в СМП, пациент, лет 50-60, мужчина, жжение за грудиной, заболел живот, вздутие живота, возможно диарея, возможно тошнота и рвота (выбрать нужное, добавить недостающее). Вылет бригады, подымаются на вызов, мужчина с индексом массы тела около 38 кг на метр квадратный (то есть ожирение II ст.), сидит опершись на кровать, жалуется на изжогу, боль в животе, сильную отрыжку.

30🔥3

3 Aug 2026, 06:50 UTC624 views14 reactionsread 12 August 2026

🤓 Разбор АМАГа не может быть полноценным без эндоскопической картины. Не всё так просто, как кажется на первый взгляд. И чем глубже копаешься, тем больше понимаешь, что ранее приобретенные знания не могут быть хоть сколь-нибудь полными. Впервые воткнул историческую справку по поводу заболевания, честно говоря, надо продолжить практику 📱 Telegram 📱 Instagram 🇷🇺 Mакс 🤨 ВКонтакте 🚑 Онлайн-консультации #аиг #амаг #

12🔥2

3 Aug 2026, 06:48 UTC650 views22 reactionsread 12 August 2026
Forwarded from @endoscopy_surgeryPhoto

📌До сих пор нет убедительных доказательств, что всё начинается именно с дна желудка. В исследовании сказано, что при отсутствии атрофии в дне в теле был ROM 1 (>50%), а при очаговой атрофии в дне был и ROM 1, и ROM 2, так что не всё так однозначно. 📌 Существует «ранняя», или «доатрофическая» стадия АИГ, когда мы не видим атрофию, а АИГ есть. В своей практике мы видим все стадии АИГа, которые указаны в статье. Но поч

21🔥1

Showing the 12 most recent of 13 posts we hold for @drsimakov. 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 — 12,532 of 1,160,990entries 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 7 registered channels — 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Dr. Симаков 🧠|Нейрогастроэнтеролог” (@drsimakov), 6,243 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/drsimakov.

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.