اگه مهندس پزشک هستی یا به این حوزه علاقمندی این کانال و از دست نده👇 🩺 اطلاعرسانی وبینارها و کارگاههای تخصصی 🩺 معرفی و آموزش نرمافزارهای کاربردی مهندسی پزشکی 🩺 منابع آموزشی و فایلهای تخصصی مهندسی پزشکی 🩺 مشاوره و همکاری در انجام پروژههای مهندسی 🩺 اطلاعرسانی موقعیتهای شغلی و فرصتهای کاری #ارسال_دوستان @bioparspajouhaan

Channel
آموزش کتیا و سالیدورک
@iranrtncom
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,623subscribers
+55 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 | -1001021804346 |
|---|---|
| Type | Channel |
| Username | @iranrtncom |
| Created | Between 1 December 2015 and 31 March 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/iranrtncom |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 08:35 | 11,623 | +8 |
| 11 Aug 2026, 09:57 | 11,615 | +11 |
| 10 Aug 2026, 10:24 | 11,604 | +10 |
| 9 Aug 2026, 12:36 | 11,594 | +12 |
| 8 Aug 2026, 09:42 | 11,582 | +11 |
| 7 Aug 2026, 08:58 | 11,571 | +3 |
| 6 Aug 2026, 20:46 | 11,568 | first reading |
Engagement
20 posts held, back to 21 June 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 18 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 17.5%
- avg views ÷ 11,623 subscribers
- Avg views / post
- 2,040
- 7 posts measured
- Reaction rate
- 0.169%
- reactions ÷ views · ER floor
- Posts in window
- 7
- 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. It is computed over the 5 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 20 (21 June 2026 – 10 August 2026) |
| Views total | 14,250 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 14:15 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
- 89
- Videos
- 546
- Links
- 75
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
- 2h 30m
- Average length
- 16m 46s
Measured directly from 9 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
85 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 84.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 72 | 84.7% | |
| 👍 | 7 | 8.24% | |
| 🔥 | 5 | 5.88% | |
| 👎 | 1 | 1.18% |
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 16 of the 20 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 85reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 21 June 2026 to 10 August 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
اگه مهندس مواد و متالورژی هستی یا به این حوزه علاقمندی این کانال و از دست نده👇 🔬 معرفی و آموزش نرمافزارهای کاربردی مهندسی 🔬 منابع آموزشی و فایلهای تخصصی مواد و متالورژی 🔬 مشاوره و همکاری در انجام پروژههای مهندسی 🔬 اطلاعرسانی موقعیتهای شغلی و فرصتهای کاری #ارسال_دوستان @materials_parspajouhaan
🔶 آموزش مدلسازی در سالیدورک 🔺 قسمت 160 🌱 مدلسازی جاذبه #Solidwork @iranrtncom
🔥4❤2👍1
🔶 آموزش مدلسازی قطعات پیچیده در کتیا 🔺 قسمت 116 🔹 گسترش سطوح #Catia @iranrtncom
❤8🔥1
فایل STL برای تمرین این ویدیو
❤2
🔶 آموزش مدلسازی قطعات پیچیده در کتیا 🔺 قسمت 115 🔹 تبدیل فایل STL به CAD با استفاده از ماژول GSD #Catia @iranrtncom
❤3
📢 دوره آشنایی با تولید الیاف کربن - قسمت پنجم - تاثیر عملیات حرارتی بر خواص مکانیکی الیاف کربن 🔵 در این قسمت به تاثیر عملیات حرارتی بر ساختار کریستالی و خواص مکانیکی الیاف کربن میپردازیم. 📈 این دوره با هدف آشنایی با فرایند تولید الیاف کربن طراحی شده است. در این مجموعه، مراحل اصلی تولید شامل انتخاب پیشماده، ریسندگی، پایدارسازی، کربونیزاسیون، فعالسازی و روشهای مختلف شناسایی ساختاری و سطحی بررسی میشود. همچنین بر ا…
❤1
🔶 آموزش مدلسازی قطعات پیچیده در سالیدورک 🔺 قسمت 159 🌱 طراحی قالب کلیپس مو - بخش دوم 🎥 منبع: https://www.youtube.com/@AlwisDesign #Solidwork @iranrtncom
❤6
🔶 آموزش مدلسازی قطعات پیچیده در سالیدورک 🔺 قسمت 158 🌱 طراحی قالب کلیپس مو - بخش اول 🎥 منبع: https://www.youtube.com/@AlwisDesign #Solidwork @iranrtncom
❤5
📢 دوره آشنایی با تولید الیاف کربن - قسمت چهارم - ساختار Turbostratic 🔵 در این قسمت با ساختار توربواستراتیک (Turbostratic) در مواد کربنی آشنا شده و به بررسی تاثیر آن بر خواص مکانیکی الیاف کربن میپردازیم. 📈 این دوره با هدف آشنایی با فرایند تولید الیاف کربن طراحی شده است. در این مجموعه، مراحل اصلی تولید شامل انتخاب پیشماده، ریسندگی، پایدارسازی، کربونیزاسیون، فعالسازی و روشهای مختلف شناسایی ساختاری و سطحی بررسی میش…
📢 دوره آشنایی با تولید الیاف کربن - قسمت سوم - ساختار گرافیت 🔵 در این قسمت با ساختار اتمی گرافیت آشنا شده و به بررسی نوع پیوندها میان اتم های آن میپردازیم. درک ساختار اتمی گرافیت به فهم بهتر خواص مکانیکی الیاف کربن کمک میکند. 📈 این دوره با هدف آشنایی با فرایند تولید الیاف کربن طراحی شده است. در این مجموعه، مراحل اصلی تولید شامل انتخاب پیشماده، ریسندگی، پایدارسازی، کربونیزاسیون، فعالسازی و روشهای مختلف شناسایی سا…
❤1
📢 دوره آشنایی با تولید الیاف کربن - قسمت دوم - آلوتروپ های کربن 🔵 در این قسمت با آلوتروپهای کربن و ساختار کریستالی آنها مثل الماس و گرافیت آشنا میشیم. 📈 این دوره با هدف آشنایی با فرایند تولید الیاف کربن طراحی شده است. در این مجموعه، مراحل اصلی تولید شامل انتخاب پیشماده، ریسندگی، پایدارسازی، کربونیزاسیون، فعالسازی و روشهای مختلف شناسایی ساختاری و سطحی بررسی میشود. همچنین بر اساس تجربههای آزمایشگاهی و مرور مقالا…
❤2
Showing the 12 most recent of 20 posts we hold for @iranrtncom. 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
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
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“آموزش کتیا و سالیدورک” (@iranrtncom), 11,623 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/iranrtncom.
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.