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Channel

ПСПбГМУ им. И. П. Павлова

@PSPbGMUofficial

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Cite this entry

6,347subscribers

-9 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-1001492723441
TypeChannel
Username@PSPbGMUofficial
CreatedBetween 1 June 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/PSPbGMUofficial

Growth

6,3476,3566,351.56 August 2026 — 6,356 subscribers6 August 2026 — 6,356 subscribers6 August 2026 — 6,354 subscribers9 August 2026 — 6,355 subscribers13 August 2026 — 6,347 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net -9. 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 6,346–6,357 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 04:036,347-8
9 Aug 2026, 17:416,355+1
6 Aug 2026, 14:236,354-2
6 Aug 2026, 06:306,356no change
6 Aug 2026, 06:236,356first reading

Engagement

20 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.5%
avg views ÷ 6,347 subscribers
Avg views / post
1,560
20 posts measured
Reaction rate
0.626%
reactions ÷ views · ER floor
Posts in window
20
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. It is computed over the 19 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held20 (21 July 202611 August 2026)
Views total31,127
Reactions total188
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:15 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
3m 17s
Average length
1m 39s

Measured directly from 2 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

166 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 54.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💊9054.2%
3621.7%
👍2313.9%
👀106.02%
❤‍🔥42.41%
💘21.20%
🔥10.602%

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 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 188reactions 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 21 July 2026 to 11 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

11 Aug 2026, 13:45 UTC552 views4 reactionsread 12 August 2026
Forwarded from @klinika_1medVideo

🧬🎨 Что скрывает Мона Лиза? Порой признаки генетических нарушений можно заметить там, где мы совсем не ожидаем их увидеть — даже в произведениях искусства. В этом видео заведующий лабораторией молекулярной диагностики НМЦ Минздрава России по молекулярной медицине ПСПбГМУ им. И. П. Павлова Владимир Дмитриевич Назаров расскажет, какую генетическую тайну скрывает самая знаменитая картина мира Смотрите видео и попробуй

4

10 Aug 2026, 15:34 UTC855 views1 reactionsread 12 August 2026
Photo

Приглашаем принять участие в образовательной программе профессиональной переподготовки по специальности «Клиническая фармакология» Данный курс, общей продолжительностью 576 академических часов, будет проводиться на базе кафедры клинической фармакологии и доказательной медицины ФГБОУ ВО "Первый Санкт-Петербургский государственный медицинский университет имени академика И.П. Павлова" Министерства здравоохранения Росси

1

8 Aug 2026, 13:11 UTC≈1,110 views12 reactionsread 12 August 2026
Photo

☀🎥 Программа "Утреннее шоу" на канале 78 — "Эффект отца. Как дети делают мужской мозг моложе? Новые исследования показали, что мозг мужчины меняется после рождения ребенка: постоянное общение с детьми, необходимость решать новые задачи тренирует мозг и замедляют старение когнитивных функций. Какие еще позитивные изменения может принести рождение детей в студии телеканала рассказал врач физической и реабилитационной

👍12

8 Aug 2026, 12:47 UTC≈1,090 viewsread 12 August 2026
Photo

Рекомендации для медицинских работников по профилактике гепатита С 🖱️ Официальный сайт 🥼Сувенирный магазин 🩵 Эндаумент-фонд 📱 ВК | 📱 тг | 📱 ОК |🥲 МАКС

7 Aug 2026, 06:05 UTC≈1,390 views8 reactionsread 12 August 2026
Photo

🎓💙 Давайте соберем наши лучшие воспоминания! Дорогие выпускники ординатуры! У каждого из вас есть фотографии, отражающие яркие студенческие моменты: бессонные ночи перед экзаменами, практика с любимым наставником, улыбки одногруппников и незабываемые события. 📸 Присылайте в личные сообщения группы Университета или на почту [email protected] фотографии, сделанные во время учебы. Они станут частью оформления выпускно

6👍2

6 Aug 2026, 15:05 UTC≈1,490 views39 reactionsread 12 August 2026

❗Приглашаем выпускников вуза заключить контракт о прохождении военной службы в медицинских подразделениях воинской части Войсковая часть 44448 входит в структуру войск беспилотных систем Вооруженных Сил Российской Федерации. Войска беспилотных систем – это новый род войск, созданный в соответствии с указанием Президента Российской Федерации в 2025 году. В настоящее время имеются вакантные должности врачей и среднего

💊30👀53👍1

6 Aug 2026, 09:36 UTC≈1,480 views9 reactionsread 12 August 2026
Photo

📚 Поддержите коллег голосом! Книга, созданная коллективом онкологического отделения №4 (торакальной хирургии) ПСПбГМУ им. И. П. Павлова (С. Ю. Дворецким и А. Л. Акоповым), вошла в лонг-лист литературной премии в области медицины "Здравомыслие" 👏 Книга "Практическое руководство по торакальной хирургии" основана на многолетнем опыте, включает в себя более 1800 иллюстраций, 90 видео операций и диагностических процедур

9

5 Aug 2026, 12:38 UTC≈1,390 views12 reactionsread 12 August 2026
Photo

29 июля состоялось торжественное вручение сертификатов участникам летней программы стажировки IFMSA 2026 года. Текущим летом в студенческом обмене приняли участие 5 студентов медицинских вузов (3-е из Армении и 2-е из Турции), которые проходили клиническую практику на отделениях гематологии, неотложной хирургии и травматологии под руководством сотрудников Университета. С приветственным словом выступил проректор по

4❤‍🔥4👍2💘2

3 Aug 2026, 14:00 UTC≈1,540 views39 reactionsread 12 August 2026
Photo

🇷🇺 Войска беспилотных систем Вооружённых сил РФ приглашают юношей на службу в качестве операторов FPV-дронов и других специалистов. При наборе приоритет отдаётся: имеющим опыт работы в сфере информационных технологий, электроники, радиотехники или смежных областях; пилотам дронов, киберспортсменам, авиамоделистам, программистам, радиотехникам, автомеханикам, геймерам. Возможности для студентов: 🔹предоставление акад

💊34👀31👍1

2 Aug 2026, 13:16 UTC≈1,620 views3 reactionsread 12 August 2026
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🤩Вирусный гепатит в вопросах и ответах 🖱️ Официальный сайт 🥼Сувенирный магазин 🩵 Эндаумент-фонд 📱 ВК | 📱 тг | 📱 ОК |🥲 МАХ

2👍1

1 Aug 2026, 12:33 UTC≈1,660 views1 reactionsread 12 August 2026
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Рекомендации для населения по профилактике гепатита С 🖱️ Официальный сайт 🥼Сувенирный магазин 🩵 Эндаумент-фонд 📱 ВК | 📱 тг | 📱 ОК |🥲 МАХ

👍1

28 Jul 2026, 17:45 UTC≈2,320 views2 reactionsread 12 August 2026
Photo

С момента запуска главного информационного ресурса страны «Про Диабет» с полезной информацией на сайте и в социальных сетях познакомились более 5,6 миллионов пользователей. Единый информационный ресурс «Про Диабет», созданный экспертами ФГБУ «НМИЦ эндокринологии им. академика И.И. Дедова» Минздрава России в рамках федерального проекта «Борьба с сахарным диабетом», — современная информационная платформа для пациентов

1👍1

Showing the 12 most recent of 20 posts we hold for @PSPbGMUofficial. 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.

Citation-graph rank

Citation-graph rank — 343,792 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q1056886 on Wikidata, read 16 August 2026
LabelFirst Pavlov State Medical University of St. Petersburg
DescriptionRussian university
X / Twitter@SPbGMUofficial
Official sitehttps://www.1spbgmu.ru/

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“ПСПбГМУ им. И. П. Павлова” (@PSPbGMUofficial), 6,347 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/PSPbGMUofficial.

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.