Telegram RegisterThe public register of Telegram
Telegram profile photo for Брендмейкер врачей

Channel

Брендмейкер врачей

@readydoctor

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

6,458subscribers

-41 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001257788067
TypeChannel
Username@readydoctor
Created12 March 2020 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/readydoctor

Topic

Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 40% 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 the other topics.

Growth

6,3606,5016,430.56 August 2026 — 6,499 subscribers6 August 2026 — 6,499 subscribers9 August 2026 — 6,496 subscribers12 August 2026 — 6,483 subscribers15 August 2026 — 6,497 subscribers18 August 2026 — 6,501 subscribers22 August 2026 — 6,360 subscribers25 August 2026 — 6,371 subscribers28 August 2026 — 6,377 subscribers31 August 2026 — 6,383 subscribers3 September 2026 — 6,388 subscribers8 September 2026 — 6,403 subscribers13 September 2026 — 6,442 subscribers17 September 2026 — 6,423 subscribers26 September 2026 — 6,436 subscribers4 October 2026 — 6,461 subscribers10 October 2026 — 6,472 subscribers14 October 2026 — 6,468 subscribers17 October 2026 — 6,463 subscribers20 October 2026 — 6,474 subscribers23 October 2026 — 6,464 subscribers26 October 2026 — 6,459 subscribers29 October 2026 — 6,453 subscribers1 November 2026 — 6,457 subscribers4 November 2026 — 6,450 subscribers7 November 2026 — 6,449 subscribers11 November 2026 — 6,458 subscribers6,4586 August 202611 November 2026
27 measurements spanning 97 days, net -41. 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 6,339–6,522 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
11 Nov 2026, 14:586,458+9
7 Nov 2026, 08:496,449-1
4 Nov 2026, 11:266,450-7
1 Nov 2026, 19:286,457+4
29 Oct 2026, 09:066,453-6
26 Oct 2026, 04:406,459-5
23 Oct 2026, 11:046,464-10
20 Oct 2026, 09:396,474+11
17 Oct 2026, 05:476,463-5
14 Oct 2026, 10:046,468-4
10 Oct 2026, 22:396,472+11
4 Oct 2026, 23:196,461+25
26 Sept 2026, 02:406,436+13
17 Sept 2026, 06:396,423-19
13 Sept 2026, 01:396,442+39
8 Sept 2026, 17:356,403+15
3 Sept 2026, 10:586,388+5
31 Aug 2026, 14:036,383+6
28 Aug 2026, 18:056,377+6
25 Aug 2026, 17:446,371first reading

Engagement

25 posts held, back to 15 July 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 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.47%
avg views ÷ 6,458 subscribers
Avg views / post
612
12 posts measured
Reaction rate
2.44%
reactions ÷ views · ER floor
Posts in window
12
of 25 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 9 November 2026
Posts held25 (15 July 2026 – 9 November 2026)
Views total7,340
Reactions total179
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 17:27 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

Video runtime
26s
Average length
26s

Measured directly from 1 video 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

433 reactions across 25 posts, in 13 distinct kinds. The most used accounts for 61.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥26561.2%
🍌6414.8%
custom 5237721297600912488296.70%
⚡235.31%
custom 5238185738184435219133.00%
🤣133.00%
custom 5364336022953926504112.54%
custom 499903246726542283451.15%
✍30.693%
💯30.693%
🍾20.462%
💔10.231%
😈10.231%

Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 25 of the 25 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 433 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 15 July 2026 to 9 November 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 25 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @readydoctor. 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 25 most recent posts we hold for this entry, published 15 July 2026 to 9 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 12 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 16:29 UTC107 views1 reactionsread 9 November 2026
Photo

Катя выпустила 6-ой поток наставничества по медблогингу! Смотрим результаты: Алина Байкова - травматолог-ортопед, Москва Полностью закрыли цели и даже сильно перевыполнили! • Inst рост с 782 до 4059 подписчиков • Многие экспертные ролики хорошо залетели, сделали красивый таплинк и визуал блога • +14 онлайн-консультации с блога 🔥 Анна Остапюк - уролог, Нижний Новгород • Inst рост с 1380 до 2314 подписчиков • Провела…

🔥1

7 Nov 2026, 10:45 UTC334 views11 reactionsread 9 November 2026
Video message

Video message, posted without a caption

🍌7🔥4

4 Nov 2026, 15:42 UTC573 views14 reactionsread 9 November 2026
Photo

Расскажу про наши разборки с Пикабу со сцены в СПБ У вас есть факапы, после которых вы зареклись: «Больше никогда»? Возможно, коллеги наступают на те же грабли. 3 декабря - «3 решения · РЕХАБ», стендап-комедия о медицинском бизнесе. Честные истории об ошибках, неожиданных последствиях и попытках всё исправить. Вы тоже сможете выйти к микрофону и рассказать свою историю. Иногда лучший способ отпустить факап - посмея…

🔥10🍾2custom 53643360229539265042

3 Nov 2026, 11:27 UTC617 views25 reactionsread 9 November 2026
Photo

Всем привет!) По совету Вовы с августа начала активно собирать отзывы и заняла 2 место в Хмао-Югре премии ПроДокторов 🥰😊

🔥25

3 Nov 2026, 11:27 UTC593 views14 reactionsread 9 November 2026

Сегодня у меня вся лента в результатах премии ПроДокторов, поздравляю всех причастных! Особенно тех, на кого я повлиял с этой задачкой 😁️️️️️️🫶️️️️️️ Анна, ты большая молодец!

🔥12🍌2

29 Oct 2026, 15:04 UTC781 views8 reactionsread 9 November 2026

Снимаем новый подкаст с Галей Хрусталёвой - аллергологом и клин.фармакологом из Абакана и резиденткой MEDBLOGERS 😇 Кто ещё не смотрел мои предыдущие подкасты с врачами-блогерами - очень рекомендую, особенно для новичков. Получите заряд мотивации и поймёте, в какую сторону вам двигаться. А завтра у нас корпоратив - 48 часов будем отмечать пятилетие клуба 🥹

🔥7🍌1

29 Oct 2026, 13:25 UTC680 views15 reactionsread 9 November 2026
Video message

Video message, posted without a caption

🔥13🍌2

28 Oct 2026, 15:33 UTC774 views30 reactionsread 9 November 2026
Photo

Мои отношения со спортом и главный принцип Спорт в моей жизни был всегда. В младших классах - тхэквондо, даже стал чемпионом области, в старших - баскетбол, играли за сборную школы. В студенчестве я впервые попал в тренажерный зал и в общем и целом последние 10 лет это единственный спорт для меня 😅 Но в универе было много факторов, из-за которых график трень был примерно полгода через полгода. Подготовки к сессиям…

🍌12⚡11custom 52377212976009124887

27 Oct 2026, 17:40 UTC595 views4 reactionsread 9 November 2026

Так, сегодня уже 2 места осталось. Следующий поток только через 2,5 месяца - 18 января (Стас). У Кати только в середине февраля. Успевайте 😉

✍3🍌1

25 Oct 2026, 14:43 UTC749 views14 reactionsread 9 November 2026
Photo

Как набрать 2000 коллег вашей специальности в блог и продать им обучение? Вчера закрыли экватор - прошёл ровно месяц со старта обучения 20-го потока наставничества по медблогингу 🤓 Очень интересная траектория наметилась у косметолога из Крыма - Екатерины Жуковой. Она пришла с запросом запустить обучение для коллег, первично имея блог в инсте с 1777 подписчиками. Но проведя опросы в блоге, оказалось, что 74% её под…

🔥8⚡4💯2

22 Oct 2026, 19:11 UTC716 views11 reactionsread 7 November 2026
Photo

Где я выступаю этой осенью К концу лета организаторы конференций видимо входят в жёсткую ворк-фазу, и я вновь рассказываю новой аудитории про блоги врачей и где их нужно вести в 2027 году. В ноябре 2023 года я впервые выступил с лекцией по медблогингу на большом конгрессе косметологов и продолжаю делать это регулярно: 1) Конференция СИНЕРГИУМ для руководителей клиник 9-10 сентября в Москве. 2) Конференция Врач гов…

🔥8⚡2😈1

Showing the 12 most recent of 25 posts we hold for @readydoctor. 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.

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.

Mentions

Named by 3 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.

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.

Юрист для врача Ангелина Романовская
@mfcexpert_news · 29,908
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 8 September 2026
Нефролог I Данила Пыриков
@pyrikov · 67,021
Telegram ranks this channel #4 of 98 here — alongside 97 others — read 20 August 2026
Доктор Лесков
@doctorleskov · 27,753
Telegram ranks this channel #5 of 92 here — alongside 91 others — read 10 September 2026
Регина Доктор | Женщина и бизнес
@reginadoctor · 21,747
Telegram ranks this channel #7 of 87 here — alongside 86 others — read 22 September 2026
Регина Доктор | Здоровье
@regina_doctor · 106,002
Telegram ranks this channel #8 of 89 here — alongside 88 others — read 14 August 2026
ДОКТОР АБАКУМОВ
@drabakumof · 144,186
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 12 August 2026
Каплина О.Ю., гинеколог, гемостазиолог & dr.gemogyn
@dr_gemogyn · 21,864
Telegram ranks this channel #10 of 98 here — alongside 97 others — read 23 September 2026
Медицинская Россия
@mediamedics · 142,813
Telegram ranks this channel #10 of 95 here — alongside 94 others — read 13 August 2026
MD.school | Медицинский онлайн-университет | Доказательная медицина
@medicina_discendi · 21,248
Telegram ranks this channel #12 of 98 here — alongside 97 others — read 25 September 2026
Поясни за мед
@poyasni_za_med · 22,200
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 21 September 2026
Клинфарм замес | Евгений Никитин
@tgnikitin · 44,085
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 28 August 2026
Занимательная эндокринология
@funwithmedicine · 22,756
Telegram ranks this channel #22 of 98 here — alongside 97 others — read 20 September 2026
Аккредитация врачей | Ординатура
@credit_med · 23,151
Telegram ranks this channel #26 of 96 here — alongside 95 others — read 19 September 2026
Ordinatura.org | Ординатура орг
@ordinatura_org · 24,161
Telegram ranks this channel #30 of 90 here — alongside 89 others — read 16 September 2026
Юлия Сидорова |Детский эндокринолог|
@sidorovasay · 26,566
Telegram ranks this channel #34 of 93 here — alongside 92 others — read 11 September 2026
УРОЛОГИЯ И МЕДИЦИНА - доктор Гадзиян.
@urolog_mark · 27,388
Telegram ranks this channel #35 of 90 here — alongside 89 others — read 10 September 2026
Профессия – эндокринолог
@profendocrinologist · 21,276
Telegram ranks this channel #36 of 97 here — alongside 96 others — read 24 September 2026
ДОКТОР ХАН
@doctorkhanstanislav · 57,312
Telegram ranks this channel #36 of 97 here — alongside 96 others — read 23 August 2026
Доктор Молодой
@doctor_dmolodoy · 61,357
Telegram ranks this channel #37 of 94 here — alongside 93 others — read 22 August 2026
Доктор Лисенкова
@doclisenkova · 20,107
Telegram ranks this channel #38 of 94 here — alongside 93 others — read 29 September 2026
Dr.Ivashkov
@drivashkov · 34,408
Telegram ranks this channel #44 of 89 here — alongside 88 others — read 6 September 2026
dnevnikdoctora
@dnevnikdoctora · 45,187
Telegram ranks this channel #54 of 98 here — alongside 97 others — read 27 August 2026
Медицинские Книги | Книги
@medprobook · 21,845
Telegram ranks this channel #58 of 83 here — alongside 82 others — read 22 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Брендмейкер врачей” (@readydoctor), 6,458 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/readydoctor.

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.