Год основания – 1930. Учебное заведение IV уровня аккредитации.
Контактная информация: 83003, г. Донецк, пр. Ильича, 16.
Официальный сайт: https://dnmu.ru/.
Вконтакте: https://vk.com/dgmu_official
Created
Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
3 measurements spanning 4 days, net -3. 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 5,884–5,887 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 21:43
5,884
-3
7 Aug 2026, 09:15
5,887
no change
7 Aug 2026, 09:05
5,887
first reading
Engagement
7 posts held, back to 9 April 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 9 pagesof 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 7 posts for this entry, the most recent from 12 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
≈14,400
Videos
≈1,110
Links
≈2,950
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
35m 05s
Average length
17m 33s
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
283 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 65.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
185
65.4%
👍
48
17.0%
🔥
38
13.4%
🥰
5
1.77%
👏
4
1.41%
😘
3
1.06%
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 7 of the 7 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 283reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 9 April 2026 to 12 April 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.
💙💙💙💙💙💙💙💙
💙💙💙💙💙💙💙💙
💙💙💙💙💙💙 💙💙
💙💙💙💙💙💙 💙
🥼 Ректор ДонГМУ на Ярмарке ваканский объединил ординаторов и работодателей ДНР, Запорожской и Херсонской областей
🥼 В одной команде с МГУ имени М. В. Ломоносова: ректор ДонГМУ задал вектор развития медицинской науки на всероссийской конференции
🥼 Завершился следующий этап «Кубка Ректора» по бадминтону
🥼 Соревновательный день Олимпиады по хирургии «Medica Mente» в ДонГМУ
🥼 Под…
Роберт Джеффри Эдвардс (1925–2013 гг.)
В 2010 году был удостоен Нобелевской премии по физиологии и медицине: «За разработку технологии экстракорпорального оплодотворения».
Родился 27 сентября 1925 года в Батли, графство Йоркшир, в семье рабочего класса. После службы в британской армии в годы Второй мировой войны он поступил в Университет Бангора в Уэльсе, где увлёкся зоологией. Свою докторскую диссертацию, посвящён…
Новая эра гипокситерапии: доклад академика РАН, ректора ДонГМУ Г. А. Игнатенко
В рамках Всероссийской междисциплинарной научно-практической конференции «Безопасность человека
как глобальный вызов
современности:
перспективы применения
медицинских газов и газовых
смесей» ректор Донецкого государственного медицинского университета имени М. Горького, академик РАН, профессор Григорий Анатольевич Игнатенко представил масш…
Очередной соревновательный день Олимпиады по хирургии «Medica Mente» в ДонГМУ
Работа девяти команд началась с посещения ректором, академиком РАН Григорием Анатольевичем Игнатенко базы проведения Олимпиады и приветствия участников и организаторов.
Ректор подчеркнул, что большим достижением профессорско-преподавательского состава университета является участие студентов первого курса в Олимпиаде, что показывает высоки…
Твоя кровь – чья-то жизнь
✔️ Состоялась встреча студентов активистов Донецкого государственного медицинского университета имени М. Горького в Донецком филиале Президентской академии в рамках грантового проекта Росмолодёжь.Гранты.
🔘Встреча прошла в формате живой, открытой лекции.
Были освещены такие темы, как:
🎥значение донорства и как оно спасает жизни;
🎥 кто может стать донором, как проходит процедура;
🎥мифы и ре…
ДонГМУ в кадре: история, традиции и будущее медицины
В Донецком государственном медицинском университете им. М. Горького состоялась съёмка видеоматериала, посвящённая жизни и истории университета.
В ходе съемок студентка V курса медико-фармацевтического ДонГМУ им. М. Горького Дарья Дидевич взяла интервью у обучающихся и сотрудников университета.
Отдельное внимание в видеоролике уделено истории университета, его тр…
Подготовка будущих врачей к аккредитации
🥼 На базе Аккредитационно-симуляционного центра Донецкого государственного медицинского университета им. М. Горького студенты VI курса медицинского факультета завершили цикл тренировочных занятий по подготовке к практическому этапу первичной аккредитации выпускников по специальности «Лечебное дело».
🩺Подготовка была направлена на отработку ключевых профессиональных компетенц…
❤22🔥7👍6🥰2
Showing the 7 most recent of 7 posts we hold for @dnmu_official. 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 — 587,500 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
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 1 registered channel — 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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Типичный Донецк @itsdonetsk · 610,808 Telegram ranks this channel #65 of 65 here — alongside 64 others — read 8 August 2026
ЧП Донецк @chp_donetska · 323,251 Telegram ranks this channel #66 of 66 here — alongside 65 others — read 10 August 2026
АГС_Русского_Донбасса @Ags_Donbass · 194,491 Telegram ranks this channel #71 of 72 here — alongside 71 others — read 11 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Донецкий медицинский университет | ФГБОУ ВО ДонГМУ Минздрава России” (@dnmu_official), 5,884 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/dnmu_official.
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.