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Channel

Toşkent davlat tibbiyot universiteti | rasmiy

@tashmeduni

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

20,740subscribers

+5,031 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001205066663
TypeChannel
Username@tashmeduni
DescriptionToşkent davlat tibbiyot universiteti yangiliklari / Новости Ташкентского государственного медицинского университета 📞 71 150-78-28 📧 [email protected] 🌐 www.tashmeduni.uz 📲 instagram.com/tashmeduni 📲 facebook.com/tashmeduni ©ToşDavTU Axborot xizmati
Created26 November 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/tashmeduni

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@tashmeduni/38859 · this entry4 Aug 2026, 10:40 UTC@tdsi_uz_2019/237934 Aug 2026, 10:40 UTC1.00under a minute
@tashmeduni/38865 · this entry4 Aug 2026, 13:26 UTC@tdsi_uz_2019/237994 Aug 2026, 13:26 UTC1.00under a minute
@tashmeduni/38879 · this entry6 Aug 2026, 11:31 UTC@tdsi_uz_2019/238136 Aug 2026, 11:31 UTC1.00under a minute
@tashmeduni/38880 · this entry7 Aug 2026, 07:02 UTC@tdsi_uz_2019/238147 Aug 2026, 07:02 UTC1.00under a minute
@tashmeduni/38859 · this entry4 Aug 2026, 10:40 UTC@tashmeduni_pediatriya/251674 Aug 2026, 10:41 UTC1.00under a minute
@tashmeduni/38865 · this entry4 Aug 2026, 13:26 UTC@tashmeduni_pediatriya/251734 Aug 2026, 13:26 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@tdsi_uz_20195 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (4–1)
@tashmeduni_pediatriya5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (4–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 10 comparable posts for this entry, running 4 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @tashmeduni — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

15,70621,44718,576.520,7406 August 20266 November 2026
61 measurements spanning 92 days, net +5,031. 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 14,845–22,308 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 12:1720,740-4
5 Nov 2026, 12:4620,744-14
4 Nov 2026, 12:4820,758-9
3 Nov 2026, 14:4720,767-13
2 Nov 2026, 13:3920,780-4
1 Nov 2026, 16:0620,784-33
31 Oct 2026, 19:0820,817-11
30 Oct 2026, 21:3120,828+4
29 Oct 2026, 22:4420,824-6
28 Oct 2026, 23:5920,830-9
27 Oct 2026, 21:2820,839-20
26 Oct 2026, 22:3620,859-23
25 Oct 2026, 22:1620,882-9
24 Oct 2026, 22:5720,891-31
23 Oct 2026, 21:0820,922-27
22 Oct 2026, 22:0920,949-33
21 Oct 2026, 16:1720,982-20
20 Oct 2026, 16:0921,002-3
19 Oct 2026, 12:2821,005-16
18 Oct 2026, 09:3621,021first reading

Engagement

228 posts held, back to 4 August 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.73%
avg views ÷ 20,740 subscribers
Avg views / post
1,600
41 posts measured
Reaction rate
0.247%
reactions ÷ views · ER floor
Posts in window
41
of 228 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 40 of 41 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 6 November 2026
Posts held228 (4 August 2026 – 6 November 2026)
Views total65,753
Reactions total162
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 15:05 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
≈30,800
Videos
≈4,000
Links
≈11,500

Lifetime counters from Telegram’s own channel header, read 6 November 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
1h 43m
Average length
1m 17s

Measured directly from 81 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

2,618 reactions across 219 posts, in 2 distinct kinds. The most used accounts for 67.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,75567.0%
👍86333.0%

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 221 of the 228 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 2,618 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 228 most recent posts we hold, published 4 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 1 of 41 posts held from the last 30 days (2.44%) 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).

6 Nov 2026, 15:02 UTC122 viewsread 6 November 2026
Photo

Oliy taʼlimdagi dolzarb masalalar va ularning yeçimlari muhokama qilindi Taʼlim va ilm-fan vazirligida davlat oliy taʼlim muassasalari rektorlari iştirokida uçraşuv ötkazildi. Unda oltita asosiy yönaliş — taʼlim sifati va bitiruvçilar bandligi, murojaatlar va ijro intizomi, talabalarning yaşaş şaroitlari, energiya tejamkorligi, xalqaro hamkorlik hamda kadrlar bilan işlaş masalalari körib çiqildi. Taʼlim sifatini oş…

6 Nov 2026, 14:33 UTC697 views3 reactionsread 6 November 2026
Photo

💠2026-yil 5-noyabr kuni Toşkent davlat tibbiyot universiteti Fundamental tibbiyot fakulteti 26-06-guruh talabalari iştirokida ma’naviy-ma’rifiy tadbir doirasida Amir Temur muzeyiga taşrif tashkil etildi. 🔺Taşrifga universitet Ijtimoiy fanlar kafedrasi öqituvchisi Tojiyev Bobur Toshpoyonovich rahbarlik qildi. 🔺Tashrif davomida talabalar buyuk davlat arbobi va sarkarda Amir Temur hayoti, faoliyati, harbiy yurişlari, …

❤2👍1

6 Nov 2026, 14:30 UTC695 views4 reactionsread 6 November 2026
Photo

💠Toşkent davlat iqtisodiyot universitetida Özbekiston Respublikasi Prezidentining PQ-345-sonli qarori ijrosi doirasida trening mashğulotlari bölib ötdi. 🔺Mazkur treningda Toşkent davlat tibbiyot universiteti Ijtimoiy fanlar kafedrasi öqituvchilari ham faol ishtirok etib, öz bilim va malakalarini oshirdilar. 🔺Trening davomida qarorning mazmun-mohiyati, ustuvor vazifalar va ularni amaliyotga tatbiq etish masalalari y…

❤3👍1

6 Nov 2026, 12:05 UTC≈1,530 views4 reactionsread 6 November 2026
Photo

😀 Toşkent davlat tibbiyot universiteti va Jamoat salomatligi texnikumlari örtasidagi hamkorlik doirasidagi navbatdagi taşrifi 🔺 Toşkent davlat tibbiyot universitetiga biriktirilgan Sirdaryo Abu Ali ibn Sino nomidagi texnikumiga 3-son xirurgik kasalliklar kafedrasi dosenti Ş.B.Toğayev taşrif buyurdi. 🔺Taşrif davomida texnikum rahbariyati va pedagogik jamoa bilan uchraşuv ötkazilib, özaro hamkorlikni yanada mustahkamla…

❤4

6 Nov 2026, 11:03 UTC≈1,520 views3 reactionsread 6 November 2026
Photo

🔺 Buyuk allomalar va tibbiyot taraqqiyoti ➡️ 2026-yil 2-noyabr kuni Toşkent davlat tibbiyot universitetiga qaraşli 3-sonli talabalar turar joyida “Buyuk allomalar va tibbiyot taraqqiyoti” mavzusida ma’rifiy davra suhbati ötkazildi. 🔺Tadbirning asosiy mazmuni va muhim tafsilotlari: ➡️Taşkilotçilar va iştirokçilar: Uçraşuv dekan örinbosari A.R. Xuramov hamkorligida taşkil etildi. Unda 1-son Travmatologiya va ortoped…

❤3

6 Nov 2026, 10:51 UTC≈1,400 views6 reactionsread 6 November 2026
Photo

🔺 Toşkent davlat tibbiyot universiteti Tibbiy-pedagogika va davolaş fakulteti talabalari qadimiy samarqand: buyuk tarix, yuksak ma’naviyat va unutilmas taassurotlar maskani! ➡️ Toşkent davlat tibbiyot universiteti Tibbiy-pedagogika va davolaş fakulteti 122–127 A, B guruh talabalari tyutor G.A. Mirbabayeva hamrohligida qadimiy va navqiron Samarqand şahriga ma’naviy-ma’rifiy sayohat uyuştirdilar. 🔺 Sayohat davomida t…

❤5👍1

5 Nov 2026, 16:31 UTC≈3,770 views5 reactionsread 6 November 2026
Video

⏺🟦🟦🟦🟦🟦 💬Toşkent davlat tibbiyot universitetida “Only English” xalqaro ilmiy-amaliy konferensiyasi bölib ötadi! ➡️2026-yil 6-noyabr kuni Toşkent davlat tibbiyot universitetida “Only English” — “Tibbiyotda ilmiy tadqiqotlar va amaliyot yutuqlari” mavzusida xalqaro yoş olimlar ilmiy-amaliy konferensiyasi taşkil etiladi. 🔹Konferensiya yoş olimlarning ilmiy salohiyatini rivojlantiriş, tibbiyotdagi zamonaviy tadqiqotlar…

❤5

5 Nov 2026, 15:47 UTC≈1,750 views3 reactionsread 6 November 2026
Photo

MILLIY QADRIYATLAR VA ZAMONAVIY YOŞLAR 2026-yil 5-noyabr kuni Toşkent davlat tibbiyot universiteti 3-davolaş fakulteti dekani E.A. Rizayev hamda Jamoat salomatligi, söğliqni saqlaş menejmenti va jismoniy tarbiya kafedrasi mudiri U.Yu. Musayev va kafedra xodimlari tomonidan TTJ 13-talabalar turar joyida «Milliy qadriyatlar va zamonaviy yoşlar» mavzusida ma’naviy-ma’rifiy tadbir taşkil etildi. Tadbirda mehmondöstlik, …

❤2👍1

5 Nov 2026, 13:30 UTC≈2,050 views2 reactionsread 6 November 2026
Video

⚡️Talabalarni onlayn oçiq muloqotga taklif etamiz 🗣Joriy yilning 6-noyabr kuni Ta’lim va ilm-fan vazirligi hamda Raqamli texnologiyalar vazirligi hamkorligida talabalar uçun onlayn oçiq muloqot taşkil etiladi. ✅ Ta’lim va ilm-fan vazirligi, Raqamli taʼlimni rivojlantiriş markazi, Uzinfocom hamda UNICON-SOFT mutaxassislari sun’iy intellekt davrida ta’lim oliş, talab yuqori bölgan kasblarni egallaş va öz bilimingiz…

❤2

5 Nov 2026, 09:39 UTC≈2,520 views6 reactionsread 6 November 2026
Photo

🏢Toşkent davlat tibbiyot universiteti Ijtimoiy psixologik yordam ko'rsatiş markazi faoliyatidan! Joriy yilning 3 noyabr kuni Ijtimoiy psixologik yordam ko'rsatiş markazi psixologi E.M.Safarova Universitetimiz talabalarning ruhiy salomatligini mustahkamlaş va psixologik savodxonligini oşiriş maqsadida «Xavotir va fobiyaning psixologik mexanizmlari» mavzusida interfaol trening maşğulotini olib bordi. Maşğulot davomida …

❤4👍2

5 Nov 2026, 07:20 UTC≈2,340 views2 reactionsread 6 November 2026
Photo

🔺 Toşkent davlat tibbiyot universitetining 11-sonli talabalar turar joyida Universitetning 3-sonli ilmiy kengaş yiğilişida belgilangan vazifalar ijrosini ta’minlaş maqsadida Allergologiya, klinik immunologiya, mikrobiologiya kafedrasi professor-öqituvçilari tomonidan talabalar iştirokida “Abu Ali ibn Sino merosi va zamonaviy tibbiyot” mavzusida davra suhbati ötkazildi. ➡️ Davra suhbatini kafedra vakillari kiriş sözi…

❤1👍1

5 Nov 2026, 07:12 UTC≈2,210 views3 reactionsread 6 November 2026
Photo

🔺 Bugun Toşkent davlat tibbiyot universiteti Yoşlar masalalari va ma’naviy-ma’rifiy işlar böyiça birinçi prorektor T.A.Bobomurodov Pediatriya hududidagi Simulatsiya markazi faoliyati bilan tanişdi. ➡️ Taşrif davomida markazda öquv jarayonining taşkil etilişi, talabalarning amaliy könikmalarini rivojlantiriş, zamonaviy simulyatorlardan samarali foydalaniş hamda amaliy maşğulotlar sifatini oşiriş masalalariga e’tibor …

❤3

Showing the 12 most recent of 228 posts we hold for @tashmeduni. 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.

Forward network

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 27 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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@drshark_asmi · 17,029
#39
𝐔𝐒𝐌𝐋𝐄 𝐆𝐨𝐨𝐝 𝐃𝐨𝐜𝐭𝐨𝐫
@GDgooddoctor · 4,283
#40
USMLE House
@Usmle_House · 1,074
#41
Toshkent Tibbiyot🩺🩻
@infinityTTA · 909
#42
Edu Med 2
@EduMeds_2 · 493 (as read 25 September 2026)
#43
Medicine with DJ
@toshkent_tibbiyot · 1,657
#44
Javokhir Khabibullaev (Jack Hobbs)
@JackHobbs · 3,464
#45
BSMI.UZ | Rasmiy kanali
@BSMI_UZ · 7,176
#46
KIUT | Rasmiy kanal
@kiut_official · 44,773
#47
Doctors | Team
@doctors_team · 26,186
#48
Medicine: step by step
@medicine_step_by_step · 7,387
#49
Genius by shahriyev
@genius_by_shahriyev · 442
#50
Urganç davlat tibbiyot instituti | Rasmiy Kanal
@UrDTI_rasmiy_kanal · 5,990
#51
EMU UNIVERSITY
@emuintash · 8,117
#52
Prof.Shukurov e-kutubxonasi/e-Библиотека Prof.Shukurov
@knigipoakusherstvoiginekologii · 1,114
#53
Xushnudbek.uz
@xushnudbek · 761,272
#54
Пресса.uz – Новости Узбекистана
@pressauz · 298,374
#55
НОВОСТИ ТАШКЕНТА
@etoparta_pro · 8,629
#56
Edu.uz
@eduuz · 143,801
#57
СТУДЕНТЫ С ПАРТЫ
@etopartapro · 4,968
#58
Актуальная Медицина
@med_ruz · 13,196
#59
Easy Medicine 🫀🥼
@easy_med1cine · 1,096
#60
SAMPI study club
@tpmistudyclub · 1,536
#61
Xushnudbek - o‘ta shaxsiy
@xushnudbekuz · 115,158
#62
Medcloud
@medcloud · 5,208
#63
WikiStipendiya
@wikistipendiya · 3,212
#64
Axmadjonov Islom (биология)
@biologyofthegalaxy · 1,438
#65
Grantlar.uz
@grantlar · 79,509
#66
Ilmiy yondashuv
@research1uz · 883
#67
Alisher Sadullaev
@alisher_sadullaev · 223,462
#68
USMLE School
@USMLEschooluz · 1,365
#69
Step by step🫀
@steps_journey · 854
#70
GrantGO
@grantgouz · 48,700
#71
🅑🅘🅞🅒🅗🅔🅜
@biochem_pro · 10,305
#72
🧪 Химия и Биология 🫀
@biologiyaendkimya · 5,944
#73
AvaChem | Avaz Azimovich
@Galaktikachem · 2,530
#74
ТМА ЖДИ НАС🤗
@tma_inshaallah · 464
#75
Химия/Биология_для поступления
@bio_chem_easy · 5,547
#76
Easy Biology🩺
@easy_biology1 · 1,686
#77
about everything
@abouteverythingXX · 11,346
#78
"Юный Медик" - Биология
@yuniy_biolog · 5,289
#79
Биология ДТМ и ЕГЭ (Динара Маратовна)
@biologiyaDTM_rus · 2,387
#80
Central Asian University
@centralasianuni · 5,759
#81

Read from Telegram’s recommendation API, most recently 25 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Tibbiyot va farmasevtika xodimlarining malakasini baholash markazi
@tibtoifa · 42,331
Telegram ranks this channel #2 of 70 here — alongside 69 others — read 1 September 2026
TIBBIY BUYRUQLAR
@tibbiy_buyruqlar · 29,194
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 18 September 2026
Tibbiyotga oid prezentatsiyalar
@tibbiy_ppt · 28,469
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 11 September 2026
Sog‘liqni saqlash vazirligi
@ssvuz · 117,404
Telegram ranks this channel #6 of 69 here — alongside 68 others — read 14 August 2026
Anatomiya.uz | Tibbiy ta‘lim
@ANATOMIYA_UZ · 29,672
Telegram ranks this channel #10 of 86 here — alongside 85 others — read 17 September 2026
Magistrlar Official
@magistrlarofficial · 59,835
Telegram ranks this channel #12 of 81 here — alongside 80 others — read 22 August 2026
Врачи Узбекистана
@vrachi_uzbekistana · 23,478
Telegram ranks this channel #13 of 71 here — alongside 70 others — read 18 September 2026
Doctors | Team
@doctors_team · 26,186
Telegram ranks this channel #13 of 82 here — alongside 81 others — read 8 September 2026
Talim
@Talimyangiliklari_uz · 8
Telegram ranks this channel #13 of 80 here — alongside 79 others — read 3 September 2026
-Talabalar | Rasmiy
@Talabalar_studentlar_official · 62,402
Telegram ranks this channel #16 of 79 here — alongside 78 others — read 20 August 2026
Ilmiy darajali kadrlarni tayyorlash
@ilmiy_darajali_kadrlar · 35,677
Telegram ranks this channel #20 of 81 here — alongside 80 others — read 5 September 2026
Doktorantlar Official || PhD, DSc
@doktorantlarofficial · 48,695
Telegram ranks this channel #27 of 84 here — alongside 83 others — read 27 August 2026
Физиология человека
@fiziologii1tj · 28,350
Telegram ranks this channel #52 of 86 here — alongside 85 others — read 16 September 2026
Операционная
@Operation_med · 26,849
Telegram ranks this channel #54 of 71 here — alongside 70 others — read 11 September 2026
Библиотека Умного Медика
@smart_medics · 20,232
Telegram ranks this channel #57 of 87 here — alongside 86 others — read 27 September 2026
Медицинский Блог | Медицина
@medproblog · 29,455
Telegram ranks this channel #75 of 82 here — alongside 81 others — read 8 September 2026
Я СТУДЕНТ МЕДИК
@student_medik · 23,424
Telegram ranks this channel #83 of 86 here — alongside 85 others — read 18 September 2026

This channel appears in 17 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Toşkent davlat tibbiyot universiteti | rasmiy” (@tashmeduni), 20,740 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/tashmeduni.

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.