Channel

🧑🏻‍🔬Молодые учёные Института общей патологии и патофизиологии👨🏼‍🔬

@smus_niiopp

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

62subscribers

+0 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1001580376353
Type	Channel
Username	@smus_niiopp
Description	Актуальные новости совета молодых учёных и специалистов Федерального государственного бюджетного научного учреждения "Научно-исследовательский институт общей патологии и патофизиологии"
Created	Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	10 August 2026
Last confirmed live	10 August 2026
Measurements held	2
On Telegram	t.me/smus_niiopp

Growth

2 measurements taken within a single day. 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 61–63 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
10 Aug 2026, 04:16	62	no change
10 Aug 2026, 01:17	62	first reading

Engagement

20 posts held, back to 13 March 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days: 30.6%; avg views ÷ 62 subscribers
Avg views / post: 19.0; 1 post measured
Reaction rate: 15.8%; reactions ÷ views · ER floor
Posts in window: 1; of 20 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
Window	Rolling 30 days · latest post in window 5 August 2026
Posts held	20 (13 March 2026 – 5 August 2026)
Views total	19
Reactions total	3
Forwards / comments	not exposed by the public surface — not measured, not estimated
Readings taken	10 Aug 2026, 04:16 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: 248
Videos: 8
Links: 108

Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

51 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 78.4% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
❤	40	78.4%
🔥	7	13.7%
👍	3	5.88%
🤔	1	1.96%

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 17 of the 20 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 51reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 13 March 2026 to 5 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

5 Aug 2026, 08:11 UTC19 views3 reactionsread 10 August 2026

Forwarded from @sspurveevFile

Друзья! В Педиатрическом университете вышло в свет издание «Частная и клиническая патофизиология. Учебник для студентов медицинских вузов», подготовленное коллективом авторов, среди которых профессор Андрей Васильев, заведующий кафедрой патологической физиологии СПбГПМУ. Как пишут в предисловии авторы, учебник актуализирует данные медицинской науки на 2026-й год, устраняя разрыв между теорией и современной клиническо…

❤3