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Channel

6.sınıf Intörnlük+TUS

@sbuogrencileri

On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry

267subscribers

+11 since we began measuring on 25 August 2026

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

Register entry

Telegram ID-1001448316649
TypeChannel
Username@sbuogrencileri
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded25 August 2026
Last confirmed live19 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/sbuogrencileri

Topic

Education — 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 23 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Growth

256267261.525 August 2026 — 256 subscribers25 August 2026 — 256 subscribers1 September 2026 — 261 subscribers11 September 2026 — 266 subscribers19 September 2026 — 267 subscribers25 August 202619 September 2026
5 measurements spanning 25 days, net +11. 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 254–269 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 00:36267+1
11 Sept 2026, 00:00266+5
1 Sept 2026, 07:27261+5
25 Aug 2026, 01:45256no change
25 Aug 2026, 01:30256first reading

Engagement

17 posts held, back to 21 March 2025 — 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 17 posts for this entry, the most recent from 2 July 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

13 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 53.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤753.8%
👍646.2%

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 9 of the 17 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 21 March 2025 to 2 July 2025, 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

2 Jul 2025, 08:24 UTC≈2,890 views5 reactionsread 25 August 2026

K.D Histerektomi (Rahim alınması) ile ilgili: TAH – Total Abdominal Hysterectomy → Karın üzerinden açık yöntemle rahmin tamamının alınması TLH – Total Laparoscopic Hysterectomy → Kapalı (laparoskopik) yöntemle rahmin tamamının alınması VH – Vaginal Hysterectomy → Vajinal yoldan rahmin alınması LAVH – Laparoscopic-Assisted Vaginal Hysterectomy → Laparoskopik yardımlı vajinal histerektomi SCH – Supracervical Hyst…

❤5

10 Jun 2025, 06:42 UTC≈2,210 views0 reactionsread 25 August 2026

#romato 3. DAPSA Skoru (Disease Activity index for Psoriatic Arthritis) Neyi ölçer? ➡ Psöriatik artritte eklem aktivitesini değerlendirir (cilt bulguları değil!). DAPSA bileşenleri: 1. Tender joint count (TJC): Hassas eklem sayısı (maks 68) 2. Swollen joint count (SJC): Şiş eklem sayısı (maks 66) 3. VAS ağrı skoru: Hastanın 0-10 arası ağrıyı değerlendirmesi 4. VAS genel sağlık durumu: Hastanın genel sağlığını …

10 Jun 2025, 06:42 UTC≈2,100 views1 reactionsread 25 August 2026

#romato 2. PASI Skoru (Psoriasis Area and Severity Index) Neyi ölçer? ➡ Sedef hastalığının cilt tutulumunun şiddetini ve yaygınlığını değerlendirir. 4 bölge değerlendirilir: • Baş • Kollar • Gövde • Bacaklar Her bölge için şu 3 özellik 0–4 arası puanlanır: 1. Eritem (kızarıklık) 2. Skalanma (pul pul dökülme) 3. Kalınlık (indürasyon) + Alan (% olarak) değerlendirmesi yapılır: • %0: 0 puan • <10%: 1 puan …

❤1

10 Jun 2025, 06:19 UTC≈1,140 viewsread 25 August 2026

#romato 🧬 1. CASPAR Kriterleri (Psöriatik Artrit Tanısı için) CASPAR: Classification Criteria for Psoriatic Arthritis ➡ PsA tanısı koymak için kullanılır. En az 3 puan almak gerekir. Ön koşul: Kişide inflamatuvar eklem hastalığı (artrit, entezit, daktilit) olması lazım. Bundan sonra şu kriterlerden puan toplanır: Kriter - Puan Aktif psoriasis (veya geçmişte olması): 2 Psoriasis aile öyküsü: 1 Tırnak değişiklikleri…

4 Jun 2025, 07:31 UTC≈1,060 views1 reactionsread 25 August 2026

#nefro Nefritik Sendromla Giden Glomerülonefritler 1. Poststreptokokal glomerülonefrit • En sık çocuklarda • ASO, anti-DNase B yüksek • Kompleman (C3) düşük 2. IgA nefropatisi (Berger hastalığı) • En sık primer GN • ÜSYE sonrası eş zamanlı hematüri • C3 genelde normal 3. Lupus nefriti • Nefritik ve nefrotik komponentleri olabilir • ANA, anti-dsDNA pozitif 4. Hızlı progresif GN (crescentic GN) – Acil tanı!…

👍1

4 Jun 2025, 07:30 UTC893 views1 reactionsread 25 August 2026

#nefro Nefritik Sendrom kriterleri: Nefritik sendrom genellikle glomerüler iltihaplanma ile seyreder ve şu temel özelliklerle tanımlanır: 1. Hematüri (mikroskopik veya makroskopik, genellikle dismorfik eritrositler + eritrosit silendirleri) 2. Azotemi (BUN ve kreatinin yüksekliği) 3. Hafif–orta proteinüri (genelde <3.5 g/gün) 4. Hipertansiyon 5. Ödem 6. Oligüri

👍1

4 Jun 2025, 07:29 UTC826 viewsread 25 August 2026

#nefro ABH Kriterleri 1. Serum kreatininin • 48 saat içinde ≥0.3 mg/dL artması veya • 7 gün içinde ≥1.5 kat artması (bazal değere göre) 2. İdrar çıkışının • 6 saatten uzun süreyle saatte <0.5 mL/kg olması

29 Apr 2025, 16:45 UTC≈1,230 viewsread 25 August 2026

#ayollar #hpv #vaktsina #aşı https://search.app/aS77uFTUSz2qiMHd9

27 Apr 2025, 06:18 UTC945 viewsread 25 August 2026

#mikrobiyoloji Rickettsia, Chlamidya, Coxiella, Ehrlichia, Orientia- sadece bu 4’ü Zorunlu Hücre İçi Bakteridir, bundan başka hüçre içi zorunlu bakteri yoktur!!!

26 Apr 2025, 12:44 UTC896 viewsread 25 August 2026

#mikrobiyoloji İzole çocuk-Immün süpresif çocuk (olacak)

26 Apr 2025, 12:43 UTC887 views2 reactionsread 25 August 2026
Photo

#mikrobiyoloji 1 yoshdan kichik bolalarga asal bermaslik kerak sababi ularda hali yaxshi rivojlangan imunitet bo’lmagani uchun asal tarkibida bo’lishi mumkun bo’lgan Clostridium Botulinium yani biz biladigan botulizm (zaharlanish) ning bolalarda bo’lgan jiddiy holatini yuzaga keltirishi mumkun.

👍2

26 Apr 2025, 10:37 UTC740 viewsread 25 August 2026

#mikrobiyoloji Bruselloz: Tarama testi-Rose Bengal Doğrulama testi-Wright T.Pallidum-Sifiliz: Tarama testi-VDRL Doğrulama testi-TPHA

Showing the 12 most recent of 17 posts we hold for @sbuogrencileri. 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.

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.

Бухоро иш | Buxoro ish | Бухара работа
@buxoro_ish_bor_elon · 54,022
Telegram ranks this channel #52 of 54 here — alongside 53 others — read 25 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“6.sınıf Intörnlük+TUS” (@sbuogrencileri), 267 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/sbuogrencileri.

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.