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Channel

«Я не договорил»

@doctorevdokimovonco

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

2,284subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002306281814
TypeChannel
Username@doctorevdokimovonco
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/doctorevdokimovonco

Topic

Science — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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

2,2762,2852,280.56 August 2026 — 2,279 subscribers6 August 2026 — 2,279 subscribers9 August 2026 — 2,277 subscribers15 August 2026 — 2,276 subscribers18 August 2026 — 2,278 subscribers21 August 2026 — 2,281 subscribers25 August 2026 — 2,285 subscribers28 August 2026 — 2,284 subscribers31 August 2026 — 2,281 subscribers4 September 2026 — 2,282 subscribers8 September 2026 — 2,277 subscribers12 September 2026 — 2,281 subscribers16 September 2026 — 2,284 subscribers2,2846 August 202616 September 2026
13 measurements spanning 41 days, net +5. 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 2,275–2,286 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 13:172,284+3
12 Sept 2026, 18:162,281+4
8 Sept 2026, 21:192,277-5
4 Sept 2026, 00:412,282+1
31 Aug 2026, 05:392,281-3
28 Aug 2026, 07:152,284-1
25 Aug 2026, 01:332,285+4
21 Aug 2026, 23:382,281+3
18 Aug 2026, 22:272,278+2
15 Aug 2026, 13:542,276-1
9 Aug 2026, 03:012,277-2
6 Aug 2026, 05:522,279no change
6 Aug 2026, 03:532,279first reading

Engagement

19 posts held, back to 29 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of 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 19 posts for this entry, the most recent from 23 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
19m 38s
Average length
1m 47s

Measured directly from 11 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

719 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 49.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
35349.1%
🔥17624.5%
👍12317.1%
182.50%
🙏162.23%
🤝60.834%
50.695%
💯50.695%
🥰50.695%
👏40.556%
❤‍🔥30.417%
🤗30.417%
👎10.139%
🤮10.139%

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 19 of the 19 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 719 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 29 April 2026 to 23 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctorevdokimovonco. 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 19 most recent posts we hold for this entry, published 29 April 2026 to 23 July 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

23 Jul 2026, 09:24 UTC541 views14 reactionsread 7 August 2026
Video

Пост №1 Пост №2 Пост №3 Пост №4 ПОСТ 5 — DNA-PK-ингибиторы и лучевая терапия! В данном случае речь пойдет о негомологичной репарации ДНК - когда клетка вынужденно устраняет разрывы ДНК "неправильно". Когда клетка получает двунитевой разрыв — самое быстрое, что она может сделать, это просто сшить концы вместе. Неточно, с делециями и иногда выпадают крупные фрагменты, но зато быстро. Это NHEJ — non-homologous end jo

7👍4🔥3

2 Jul 2026, 14:47 UTC≈1,040 views25 reactionsread 7 August 2026
Video

Пост №1 Пост №2 Пост №3 Пост №4 — WEE1-ингибиторы и дефицит p53 Белок p53 мутирован примерно в половине всех опухолей. А в серозной high-grade карциноме яичников в ~90% случаев. При этом конкретного таргетного препарата против p53 не существует. В норме у клетки есть два основных механизмов проверки перед делением. О них мы говорили в прошлом посте. Первый — G1/S-чекпоинт: при повреждении ДНК срабатывает ATM → p53

14🔥83

23 Jun 2026, 05:41 UTC≈1,300 views36 reactionsread 7 August 2026
Video

Пост №1 Пост №2 Продолжаем серию про «Как доломать поломанное». Пост № 3 Есть два главных белка-надзирателя за целостностью ДНК — ATM и ATR. Они работают параллельно, но реагируют на разные сигналы. ATM — реагирует на двунитевые разрывы. Как только разрыв возник, к нему приходит комплекс MRN, притягивает ATM, активирует его, тот фосфорилирует p53 и CHK2 — и клетка останавливается на G1/S, чтобы починить повреждени

15🔥11👍432🙏1

21 Jun 2026, 14:33 UTC≈1,270 views81 reactionsread 7 August 2026
Video

Коллеги, с праздником! Спасибо за ваш труд, преданность профессии и спасённые жизни. Крепкого здоровья, благополучия и новых профессиональных побед! 🧡 @doctorevdokimovonco

43🔥217🥰5💯3❤‍🔥2

19 Jun 2026, 14:26 UTC≈1,360 views113 reactions1 Starread 7 August 2026
Video

Выпускаю в большой медицинский мир своего первого ординатора-онколога! 🧡📚 Желаю, чтобы статистическая значимость ваших научных работ всегда была p < 0,05, а количество счастливых пациентов — стремилось к бесконечности. Пусть профессиональный путь будет наполнен интересными клиническими случаями, научными открытиями, мудрыми наставниками и благодарными пациентами. В добрый профессиональный путь!🐸 @doctorevdokimovo

69👍24🔥15👏41

15 Jun 2026, 14:22 UTC≈1,590 views27 reactionsread 7 August 2026
Video

Коллегии, уже в эту пятницу состоится вебинар «Рак легкого: вызовы в лечении метастатической болезни» в рамках проекта «вРАКурсе». Буду модерировать мероприятие, а также выступлю с докладом: 🔹 «Новые возможности иммунотерапии НМРЛ» 🗓19 июня 👍16:00 (МСК) ⌨️Формат -Онлайн ▶️Онлайн-трансляция Буду рад видеть вас на вебинаре! Я не договорил … @doctorevdokimovonco

10👍65🔥4🤮1🙏1

12 Jun 2026, 06:31 UTC≈1,700 views33 reactionsread 7 August 2026
Video

Друзья, вот и подъехал контент с нашего мероприятия «Врач или искусственный интеллект. Что лучше? v2.0» Главный вывод форума прост: искусственный интеллект не заменяет врача, а становится его помощником. Впереди ещё много интересных проектов, встреч и идей, которыми обязательно поделюсь с вами. Но я как обычно не договорил… А пока — смотрите фотографии и записи трансляций с форума 👇 📷Фото 📷Видео(зал 1) 📷Видео(за

👍178🔥8

10 Jun 2026, 09:33 UTC≈1,590 views14 reactionsread 7 August 2026

Актуальная ссылка 🎬 Смотреть здесь: ВК видео

10👍2💯2

9 Jun 2026, 18:37 UTC≈1,260 views47 reactionsread 7 August 2026
Forwarded from @mosoncologVideo

ИИ в онкологии: не вместо, а вместе 👩‍💻🧠 ❔ Что будет, если два практикующих онколога сядут обсудить искусственный интеллект? Получится честный и детальный разговор по использованию нейросетей в онкологии. Мы запускаем серию видеовстреч, где разберем, как ИИ может стать отличным помощником для решения ежедневных задач. Без лишней теории – только прагматичный взгляд и реальные кейсы. О чем поговорим в рамках цикла?

26👍12🔥72

7 Jun 2026, 07:12 UTC≈1,280 views33 reactionsread 7 August 2026
Video

На вчерашней конференции «Врач или искусственный интеллект, что лучше? v2.0»обсудили с Григорием Чижем результаты исследования RASolute 302. Результаты действительно впечатляют: препарат продемонстрировал значимый выигрыш в общей выживаемости. Однако после детального разбора остаются вопросы ❔ Кстати, на некоторые из них обратил внимание и Vinay Prasad: 🔬Лекарство не излечивает и пациенты все равно прогрессируют (х

19👍8🔥6

6 Jun 2026, 18:22 UTC≈1,240 views64 reactionsread 7 August 2026
Photo

Хочу поблагодарить всех подписчиков, друзей и коллег, которые посетили конференцию и сделали это мероприятие по-настоящему ярким и насыщенным. Мы услышали множество интересных докладов, обсудили актуальные вопросы медицины, науки и современных технологий. Отдельно хочу поблагодарить Чижа Григория Алексеевича за эксклюзивный комментарий и интересную беседу. Также нам удалось записать интервью с ординатором, в котором

38🔥16👍10

6 Jun 2026, 12:40 UTC≈1,240 views33 reactionsread 7 August 2026
Video

Room tour конференции по ИИ в медицине «Врач или искусственный интеллект, что лучше? v2.0»: показываю, что происходит за кулисами главного события отрасли. @doctorevdokimovonco

🔥1612👍5

Showing the 12 most recent of 19 posts we hold for @doctorevdokimovonco. 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.

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 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“«Я не договорил»” (@doctorevdokimovonco), 2,284 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/doctorevdokimovonco.

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.