Я Онколог Онкология pinned a photo

Channel
Я Онколог Онкология
@oncolog_oncologiya
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
37subscribers
+28 since we began measuring on 11 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004322447668 |
|---|---|
| Type | Channel |
| Username | @oncolog_oncologiya |
| Created | 7 October 2026 — measured — dated from the channel’s first post |
| First recorded | 11 October 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/oncolog_oncologiya |
Topic
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 29 October 2026 and assigned it the closest of 31 fixed categories, at 68% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 20:59 | 37 | +6 |
| 29 Oct 2026, 13:44 | 31 | +9 |
| 21 Oct 2026, 23:16 | 22 | +9 |
| 13 Oct 2026, 21:58 | 13 | +4 |
| 11 Oct 2026, 13:22 | 9 | no change |
| 11 Oct 2026, 12:47 | 9 | first reading |
Engagement
6 posts held, back to 7 October 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 19.8%
- avg views ÷ 37 subscribers
- Avg views / post
- 7.3
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 6 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.
| Window | Rolling 30 days · latest post in window 11 October 2026 |
|---|---|
| Posts held | 6 (7 October 2026 – 11 October 2026) |
| Views total | 22 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Oct 2026, 13:22 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 6 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).
Срочно! Разыскиваются Врачи Молодые врачи решили объединиться и сделать знания доступными для каждого. Вступайте в наше сообщество врачей! Кроме команды единомышленников, с которыми можно обсудить клинические случаи и тактику ведения пациентов, в наших каналах проходит бесплатное обучение. Медицинские Книги Я Эндокринолог Я Диетолог Нутрициолог Я Терапевт Я Педиатр Я Психолог | Психиатр Я Гастроэнтеролог Я Фармац…
🎗 ОНКОЛОГИЧЕСКИЙ КЕЙС: ЖЕЛТУХА БЕЗ ОПУХОЛИ НА МРТ 42-летняя пациентка с раком яичника IVB стадии. Причина холестаза оказалась неожиданной. Женщина с высокозлокачественной серозной карциномой яичника ранее перенесла циторедуктивную операцию и несколько линий химиотерапии. При очередном обращении появились слабость, снижение аппетита и лёгкая желтуха. 🔎 Что показала визуализация? МР-холангиопанкреатография выявила: уто…
🔬 ОНКОЛОГИЧЕСКИЙ КЕЙС: КОГДА ОПУХОЛЬ ИМИТИРУЕТ РАК МОЛОЧНОЙ ЖЕЛЕЗЫ 53-летняя женщина. Образование молочной железы с признаками высокой вероятности злокачественности Пациентка самостоятельно обнаружила безболезненное уплотнение в левой молочной железе. При осмотре определялось плотное, малоподвижное образование около 2 см с втяжением кожи. Результаты визуализации усиливали подозрение на рак: Маммография: спикулиро…
Channel photo updated
Channel created
Showing the 6 most recent of 6 posts we hold for @oncolog_oncologiya. 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.
Mentions
Named by 16 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.
Named by
Channels on the register whose posts name this channel's handle.
@knigamedikaliteratura · 23,2899 postsЯ Анестезиолог Реаниматолог
@anesthesiologistrussia · 10,0782 postsЯ Диетолог Нутрициолог
@dietologrf · 9,0092 postsВладельцы Медицинских Клиник | Врачи России Медицина
@medicrussia · 6,5922 postsЯ Психолог | Психиатр
@russiapsiholog · 7,3482 postsЯ Терапевт | Лор
@terapevtmedic · 7,9212 postsЯ Гастроэнтеролог Гастроэнтерология
@Yagastromedic · 6,4912 postsЯ Хирург Хирургия
@Yahirurgmedic · 6,8022 postsЯ Кардиолог Кардиология
@cardiologdoctor · 11,6201 postЯ Дерматолог Трихолог
@dermatologmedic · 10,6651 postЯ Эндокринолог | Эндокринология
@endokrinologrf · 11,4251 postЯ Фармацевт | Провизор | Аптека
@farmacevt1 · 5,8651 postЯ Гинеколог Акушер
@ginecologdoctor · 9,5161 postЯ Невролог | Неврология
@nevrologdoctor · 11,7181 postЯ Педиатр | Педиатрия
@pediatrdoctor1 · 10,4231 postВладельцы Стоматологий
@stomadentrf · 10,0891 post
Names
Channels on the register whose handles appear in this channel's posts.
@anesthesiologistrussia · 10,0781 postЯ Кардиолог Кардиология
@cardiologdoctor · 11,6201 postЯ Дерматолог Трихолог
@dermatologmedic · 10,6651 postЯ Диетолог Нутрициолог
@dietologrf · 9,0091 postЯ Эндокринолог | Эндокринология
@endokrinologrf · 11,4251 postЯ Фармацевт | Провизор | Аптека
@farmacevt1 · 5,8651 postЯ Гинеколог Акушер
@ginecologdoctor · 9,5161 postМедицинские Книги
@knigamedikaliteratura · 23,2891 postЯ Косметолог Косметология
@kosmetologmed · 13,4231 postЯ Аллерголог Иммунолог
@medicineallergia · 5,6041 postВладельцы Медицинских Клиник | Врачи России Медицина
@medicrussia · 6,5921 postЯ Невролог | Неврология
@nevrologdoctor · 11,7181 postЯ Офтальмолог
@oftalmologmedicc · 2,0891 postЯ Ортопед Травматолог
@ortopedtravmatologi · 3611 postЯ Педиатр | Педиатрия
@pediatrdoctor1 · 10,4231 postЯ Подолог Подология
@podologrussiaaa · 1,8641 postЯ Психолог | Психиатр
@russiapsiholog · 7,3481 postВладельцы Стоматологий
@stomadentrf · 10,0891 postЯ Терапевт | Лор
@terapevtmedic · 7,9211 postЯ Уролог Андрология
@urologmedic · 1,8851 postЯ Врач УЗД УЗИ Ультразвуковой Диагностики
@uziudzultrazvukovoimedic · 3,0451 postЯ Гастроэнтеролог Гастроэнтерология
@Yagastromedic · 6,4911 postЯ Хирург Хирургия
@Yahirurgmedic · 6,8021 post
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“Я Онколог Онкология” (@oncolog_oncologiya), 37 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/oncolog_oncologiya.
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.