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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
TypeChannel
Username@oncolog_oncologiya
Created7 October 2026 — measured — dated from the channel’s first post
First recorded11 October 2026
Last confirmed live4 November 2026
Measurements held6
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.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

9372311 October 2026 — 9 subscribers11 October 2026 — 9 subscribers13 October 2026 — 13 subscribers21 October 2026 — 22 subscribers29 October 2026 — 31 subscribers4 November 2026 — 37 subscribers11 October 20264 November 2026
6 measurements spanning 24 days, net +28. 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 5–41 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 20:5937+6
29 Oct 2026, 13:4431+9
21 Oct 2026, 23:1622+9
13 Oct 2026, 21:5813+4
11 Oct 2026, 13:229no change
11 Oct 2026, 12:479first 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 October 2026
Posts held6 (7 October 2026 – 11 October 2026)
Views total22
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 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).

11 Oct 2026, 09:54 UTC10 viewsread 11 October 2026
Photo

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…

10 Oct 2026, 09:18 UTC7 viewsread 11 October 2026
Photo

🎗 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…

9 Oct 2026, 09:11 UTC5 viewsread 11 October 2026
Photo

🔬 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…

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.

Names

Channels on the register whose handles appear in this channel's posts.

Я Анестезиолог Реаниматолог
@anesthesiologistrussia · 10,078
1 post
Я Кардиолог Кардиология
@cardiologdoctor · 11,620
1 post
Я Дерматолог Трихолог
@dermatologmedic · 10,665
1 post
Я Диетолог Нутрициолог
@dietologrf · 9,009
1 post
Я Эндокринолог | Эндокринология
@endokrinologrf · 11,425
1 post
Я Фармацевт | Провизор | Аптека
@farmacevt1 · 5,865
1 post
Я Гинеколог Акушер
@ginecologdoctor · 9,516
1 post
Медицинские Книги
@knigamedikaliteratura · 23,289
1 post
Я Косметолог Косметология
@kosmetologmed · 13,423
1 post
Я Аллерголог Иммунолог
@medicineallergia · 5,604
1 post
Владельцы Медицинских Клиник | Врачи России Медицина
@medicrussia · 6,592
1 post
Я Невролог | Неврология
@nevrologdoctor · 11,718
1 post
Я Офтальмолог
@oftalmologmedicc · 2,089
1 post
Я Ортопед Травматолог
@ortopedtravmatologi · 361
1 post
Я Педиатр | Педиатрия
@pediatrdoctor1 · 10,423
1 post
Я Подолог Подология
@podologrussiaaa · 1,864
1 post
Я Психолог | Психиатр
@russiapsiholog · 7,348
1 post
Владельцы Стоматологий
@stomadentrf · 10,089
1 post
Я Терапевт | Лор
@terapevtmedic · 7,921
1 post
Я Уролог Андрология
@urologmedic · 1,885
1 post
Я Врач УЗД УЗИ Ультразвуковой Диагностики
@uziudzultrazvukovoimedic · 3,045
1 post
Я Гастроэнтеролог Гастроэнтерология
@Yagastromedic · 6,491
1 post
Я Хирург Хирургия
@Yahirurgmedic · 6,802
1 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.