Telegram RegisterThe public register of Telegram

Channel

کانال آموزشی ارتوپدی

@Orthopedic_learning

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

8,268subscribers

+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-1001288222506
TypeChannel
Username@Orthopedic_learning
Description🔴 کانال آموزشی ارتوپدی 🔸️مرجع آموزش مجازی ارتوپدی در کشور ویژه دانشجویان پزشکی، دستیاران و متخصصان ارتوپدی 🔸️ارسال تبلیغات و ارتباط با ما: @ORA_admin1
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/Orthopedic_learning

Growth

8,2598,2688,263.56 August 2026 — 8,259 subscribers6 August 2026 — 8,259 subscribers7 August 2026 — 8,263 subscribers10 August 2026 — 8,268 subscribers6 August 202610 August 2026
4 measurements spanning 4 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 8,258–8,269 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 13:288,268+5
7 Aug 2026, 13:128,263+4
6 Aug 2026, 20:308,259no change
6 Aug 2026, 20:298,259first reading

Engagement

20 posts held, back to 8 January 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.0%
avg views ÷ 8,268 subscribers
Avg views / post
2,070
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held20 (8 January 20254 August 2026)
Views total4,130
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:35 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
63
Videos
87
Links
31

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. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
10h 07m
Average length
50m 37s

Measured directly from 12 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.

Recent posts

4 Aug 2026, 11:21 UTC≈1,500 viewsread 12 August 2026
Video

🏛 "کلاس درس جراحی ارتوپدی دانشگاه واشنگتن" 🖤 مبحث دست 1️⃣بخش اول 👤دکتر جری هوانگ 🔹استاد تمام جراحی ارتوپدی دانشگاه واشنگتن آمریکا 🔹رئیس سرویس جراحی دست و اندام فوقانی دانشگاه واشنگتن 🔹مدیر فلوشیپ جراحی دست و میکروسرجری دانشگاه واشنگتن 🌐کانال آموزشی ارتــــوپدی: 🆔 @Orthopedic_learning

24 Jul 2026, 18:01 UTC≈2,630 viewsread 12 August 2026

🔹نشست ارزشمند "آشنایی با رشته جراحی ارتوپدی"، با حضور اساتید برجسته دانشگاه تهران و بهشتی، در انجمن علمی ارتوپدی منتشر شد: | @Orthopedic_Association |

31 Jan 2026, 14:39 UTC≈7,860 viewsread 12 August 2026
Video

🎗کلاس درس "اونکولوژی ارتوپدی" 👤دکتر جیمز سی. ویتینگ 🔹متخصص اونکولوژی ارتوپدی 🔹رئیس بخش ارتوپدی Morristown Medical Center کنادا 📝جلسه دوم: ارزیابی رادیوگرافی تومور‌ها #کلاس_درس👨‍🏫 🌐کانال آموزشی ارتــــوپدی: 🆔 @Orthopedic_learning

3 Dec 2025, 10:03 UTC≈8,600 viewsread 12 August 2026
Video

🎗کلاس درس "اونکولوژی ارتوپدی" 👤دکتر جیمز سی. ویتینگ 🔹متخصص اونکولوژی ارتوپدی 🔹رئیس بخش ارتوپدی Morristown Medical Center کنادا 📝جلسه اول: مقدمه‌ای بر تومور‌های اسکلتی-عضلانی #کلاس_درس👨‍🏫 🌐کانال آموزشی ارتــــوپدی: 🆔 @Orthopedic_learning

16 Nov 2025, 18:36 UTC≈7,450 viewsread 12 August 2026
Photo

🦴کارگاه هوش مصنوعی در ارتوپدی 👤دکتر مهرناز آقانوری ⏺عضو هیئت علمی مرکز تحقیقات پردازش تصویر و سیگنال در پزشکی، دانشگاه علوم پزشکی اصفهان ⏺سرپرست کارگروه بین الملل و بازار شورای راهبری هوش مصنوعی دانشگاه علوم پزشکی اصفهان 👤دکتر مهدی هادیان ⏺متخصص ارتوپدی ⏺عضو هیئت علمی دانشگاه علوم پزشکی اصفهان ⏺سرپرست انجمن دانشجویی ارتوپدی دانشگاه علوم پزشکی اصفهان 📚سرفصل‌ها: ⏺مقدمه و مبانی هوش مصنوعی در تصویربرداری تشخیصی ⏺تحلیل

29 Jul 2025, 08:45 UTC≈16,700 viewsread 12 August 2026
File

📚کتاب ارزشمند "راهنمای شکستگی‌ها" 🦴کتاب Handbook of Fractures یک مرجع ضروری و کاربردی برای متخصصین و رزیدنت‌های ارتوپدی و تمامی علاقه‌مندان به این حیطه و متخصصانی است که در زمینه طب اورژانس فعالیت می‌کنند. 📝این کتاب با پوشش جامع شکستگی‌ها در بزرگسالان و کودکان، به صورت خلاصه و ساختاریافته، به اطلاعات کلیدی در خصوص مدیریت و طبقه‌بندی انواع شکستگی‌ها می‌پردازد، از آناتومی و مکانیسم آسیب گرفته تا ارزیابی بالینی، تصویر

17 Jul 2025, 09:33 UTC≈12,400 viewsread 12 August 2026
Video

🦴"کلاس درس مرور ارتوپدی میلر" 🏛دانشگاه ویرجینیا آمریکا 👤دکتر آرجون بابی چابرا ⏺متخصص جراحی ارتوپدی ⏺رئیس دپارتمان جراحی ارتوپدی دانشگاه ویرجینیا 2️⃣جلسه دوم: مبانی آناتومی 🌐کانال آموزشی ارتــــوپدی: 🆔 @Orthopedic_learning

14 Jul 2025, 09:02 UTC≈11,500 viewsread 12 August 2026
Video

🦴"کلاس درس مرور ارتوپدی میلر" 🏛دانشگاه ویرجینیا آمریکا 👤دکتر آرجون بابی چابرا ⏺متخصص جراحی ارتوپدی ⏺رئیس دپارتمان جراحی ارتوپدی دانشگاه ویرجینیا 1️⃣جلسه اول: مبانی علوم پایه مرتبط 🌐کانال آموزشی ارتــــوپدی: 🆔 @Orthopedic_learning

8 Jul 2025, 14:20 UTC≈10,600 viewsread 12 August 2026
File

📚کتاب ارزشمند "انکولوژی ارتوپدی" 🎗این کتاب، مروری جامع بر انکولوژی ارتوپدی را شرح می‌دهد، این شاخه، شاخه‌‌ای از جراحی ارتوپدی است که به ارزیابی و درمان تومورهای استخوانی و بافت نرم در دستگاه عضلانی‌اسکلتی می‌پردازد. 🦴فصول ابتدایی کتاب به تفسیر تصویربرداری‌های عضلانی‌اسکلتی و اصول نمونه‌برداری (بیوپسی) عضلانی-‌اسکلتی اختصاص دارند. در ادامه، ارزیابی و درمان طیف کاملی از تومورها در قالب فصولی با تصاویر جامع و گویا شرح

1 Jul 2025, 14:02 UTC≈10,200 viewsread 12 August 2026
Video

✂️"شکستگی دیستال رادیوس" 🏛دپارتمان جراحی ارتوپدی دانشگاه نیویورک 📝در این ویدیو جا‌اندازی باز و فیکساسیون داخلی (ORIF) به صورت عملی و کیس محور آموزش داده شده است. 🌐کانال آموزشی ارتــــوپدی: 🆔 @Orthopedic_learning

25 Jun 2025, 11:15 UTC≈12,200 viewsread 12 August 2026
Video

🦴آموزش آتل‌گیری 👤دکتر سعیدرضا مهرپور ⏺فوق‌تخصص جراحی ستون فقرات 🔺استاد تمام دانشگاه علوم پزشکی تهران 3️⃣بخش سوم 📝مبحث: ⏺نحوه آتل‌گیری و بی‌حرکت کردن اندام تحتانی (۲) ⏺ بخش اول ⏺ بخش دوم #فیلم #صلاحیت_بالینی 🌐کانال آموزشی ارتــــوپدی: 🆔 @Orthopedic_learning

4 May 2025, 15:53 UTC≈10,700 viewsread 12 August 2026
Forwarded from @IranElitesNet

🔺هندبوک جراحی آکسفورد، در کانال انجمن علمی جراحی عمومی منتشر شد: | @GeneralSurgery_Association |

Showing the 12 most recent of 20 posts we hold for @Orthopedic_learning. 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 — 578,665 of 1,160,990entries 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.

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.

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

“کانال آموزشی ارتوپدی” (@Orthopedic_learning), 8,268 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Orthopedic_learning.

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.