Channel
@akfamedlinesocialuz
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
218subscribers
+51 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003114334749 |
|---|---|
| Type | Channel |
| Username | @akfamedlinesocialuz |
| Created | Between 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/akfamedlinesocialuz |
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 24 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 05:18 | 218 | +2 |
| 11 Sept 2026, 01:56 | 216 | +7 |
| 26 Aug 2026, 07:34 | 209 | +3 |
| 13 Aug 2026, 09:35 | 206 | +39 |
| 8 Aug 2026, 15:45 | 167 | no change |
| 6 Aug 2026, 05:47 | 167 | first reading |
11 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 1 page of 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 11 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 7 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.
66 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 48.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 48.5% | |
| 🔥 | 16 | 24.2% | |
| 👍 | 10 | 15.2% | |
| 👏 | 5 | 7.58% | |
| ⚡ | 1 | 1.52% | |
| 🆒 | 1 | 1.52% | |
| 🥰 | 1 | 1.52% |
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 10 of the 11 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 66 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 9 April 2026 to 29 July 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.
Loyiha ustidagi ishlar klinika ochilishidan ancha oldin boshlanadi. Biz uchun bemorning klinikadagi har bir bosqichi - roʻyxatdan oʻtish, kutish, shifokor qabulidan oʻtish va keyingi tavsiyalarni olish jarayoni qanday kechishini puxta tahlil qilish muhim. Simulyatsion sinovlar ishtirokchilari klinikadagi barcha asosiy bosqichlardan oʻtdilar. Bu orqali jarayonlarni chuqur tahlil qilish, qoʻshimcha yuklama yuzaga keli…
❤4👍3⚡1🔥1🆒1
Shifokor haqiqiy qabulga tayyormi? Buni birinchi bemor kelishidan oldin qanday aniqlash mumkin? Social by AKFAʼda shifokorlarni tanlash faqat diplom va rezyume bilan cheklanmaydi. Biz hujjatlarda aks etmaydigan, ammo amaliyot uchun muhim bo‘lgan jihatlarni baholaymiz: shifokorning klinik fikrlashi, bemor bilan muloqot qilish uslubi hamda nostandart vaziyatlarda to‘g‘ri qaror qabul qila olish qobiliyati. Shu maqsadd…
❤1🔥1
O‘zbekiston Respublikasi Prezidenti muhtaram Shavkat Miromonovich Mirziyoyev Janobi Oliylariga, “Social by AKFA” Sizni tavallud ayyomingiz bilan samimiy muborakbod etib, mustahkam sog‘lik, oilaviy baxt-saodat va mas’uliyatli davlat faoliyatingizda ulkan zafarlar tilaydi. O‘zbekiston Respublikasi manfaatlari yo‘lidagi izchil xizmatingiz, mamlakatimizni mustahkamlash va rivojlantirishga qo‘shayotgan salmoqli hissangi…
🏗️ “Social by AKFA” asta-sekin shakllanmoqda. Biz diagnostika, davolash, raqamli xizmatlar va bemorni keyingi qo‘llab-quvvatlashni yagona, tushunarli bir tizimga birlashtiruvchi markazni yaratmoqdamiz. “Social”ning maqsadi – zamonaviy tibbiy yordamni hamyonbop, qulay va insonga yaqinroq qilishdir. Qurilish maydonchasidan olingan yangi lavhalar bilan bo‘lishamiz va “Social by AKFA” kelajak maskani qanday qilib bosq…
❤7
Ba’zan yirik loyihaning eng muhim natijasi faqat erishilgan yutuqlarda emas, balki jamoa ish boshlashdan avval bera boshlaydigan savollarda namoyon bo‘ladi. Bemor markaz bo‘ylab qanday harakatlanadi? Qaysi bosqichlarda yuklama ortadi? Shifokor qarorlarni qanday qabul qiladi? Raqamli tizim qanday ishlaydi? Jamoa haqiqiy ish sur’atiga qanchalik tayyor? Social by AKFA simulyatsiyalari natijalari ushbu savollarga aniq …
❤4👍1
Social by AKFA loyihasini ishga tushirish oldidan yana bir muhim bosqichdan o‘tildi. Simulyatsiyalarning ikkinchi bosqichida jamoa bo‘lajak diagnostika markazining real sharoitlarda qanday ishlashini sinab ko‘rdi: bemor yo‘nalishi, tizimga tushadigan yuklama, raqamli jarayonlar, klinik ssenariylar va shifokorlar faoliyati tekshirildi. Klinik simulyatsiya orqali tibbiy jamoani saralashning yangi formati alohida sino…
👏3🔥3❤2👍2
“Social by AKFA” va Central Asian University bo‘lajak diagnostika markazining simulyatsion tadqiqotlari ikkinchi bosqichini muvaffaqiyatli o‘tkazdi. Ikkinchi bosqichning maqsadi – bo‘lajak klinikani to‘laqonli tibbiy tizim sifatida sinovdan o‘tkazish: ochilishidan oldin zaif jihatlarini aniqlash, raqamli infratuzilmani tekshirish, jamoani tayyorlash va Central Asian Universityʼda simulyatsion tibbiy ta’lim usullarin…
🔥3👍2❤1🥰1
Muhim tayinlov haqida mamnuniyat bilan maʼlum qilamiz: Central Asian University Tibbiyot maktabi dekani, doktor Murodbek Ahrorov Social loyihasi bosh direktori etib tayinlandi. Ushbu tayinlov Murodbek Axrorovning yuksak kasbiy salohiyati, boy boshqaruv tajribasi, amaliy klinik faoliyati hamda tibbiy ta’lim rivojiga qo‘shayotgan munosib hissasining e’tirofidir. U Kanadadagi University of Alberta’da “Jarrohlik va jarr…
🔥4❤2👍2
Central Asian University tomonidan oʻtkazilgan klinik amaliyotni simulyatsiya qilish loyihasi “Oʻzbekiston 24” milliy telekanalida yoritildi. ⠀ Unda tibbiy ta’limni yangi bosqichga olib chiqayotgan zamonaviy yondashuvlar, talabalarni puxta amaliy tayyorlash jarayoni hamda istiqbolda tashkil etilishi rejalashtirilayotgan Social diagnostika markazining sinov modeli asosiy e’tibor markazida bo‘ldi ⠀ #ozbekiston24 #socia…
🔥3❤2
CAU tibbiy ta’limda klinik amaliyotni to‘liq simulyatsiya qilish orqali innovatsion yondashuvni joriy etmoqda. Universitetda ish jarayonlari, bemorlar oqimi va bo‘limlararo hamkorlik real klinikaga maksimal darajada yaqinlashtirilgan diagnostika markazining to‘liq modeli yo‘lga qo‘yilgan. Mazkur loyiha qurilayotgan “Social” diagnostika markazi modelining 1:3 miqyosidagi prototipi sifatida amalga oshirilmoqda. Simul…
❤6👏1🔥1
Social — Ochilish oldidan o‘tkazilayotgan simulyatsiya Haqiqiy klinik tizimlarni keng miqyosda yaratish va sinovdan o‘tkazishga qaratilgan to‘liq ko‘lamli tibbiy simulyatsiya loyihasi ishga tushirildi. 🩺 Bu — Markaziy Osiyo uchun noyob amaliyot bo‘lib, mintaqada ilgari kuzatilmagan miqyosda amalga oshirilmoqda. Central Asian University kampusida chinakam klinik muhitni aks ettiruvchi diagnostika markazi modeli — bo…
❤3👏1
Showing the 11 most recent of 11 posts we hold for @akfamedlinesocialuz. 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.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“🇺🇿 Social by AKFA” (@akfamedlinesocialuz), 218 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/akfamedlinesocialuz.
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.