2 measurements taken within a single day, net +1. 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 686–687 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 17:35
687
+1
8 Aug 2026, 06:32
686
first reading
Engagement
20 posts held, back to 18 May 2024 — 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 pageof 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 20 posts for this entry, the most recent from 9 May 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
60 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 55.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
33
55.0%
👍
24
40.0%
🔥
2
3.33%
custom 5794023796994217226
1
1.67%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 14 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 60reactions 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 18 May 2024 to 9 May 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.
📌 آموزش ابزار Region Growing سی تی اسکن زیمنس | قسمت اول
✔️ تا حالا به این فکر کردین چطور میشه استخوانها و پروتزهای فلزی رو با هم به بهترین شکل ممکن بررسی کرد؟ تو این ویدیو یه راه حل فوقالعاده کاربردی و ساده براتون داریم!
📣 تو این ویدئو با آقای حسین فرحناک هستیم و قراره با یه تکنیک جذاب به اسم «Region Growing» یا سگمنتیشن زیمنس آشنا بشیم که مخصوصاً توی ارتوپدی معجزه میکنه.
🗣️ فرض کنین بیمار یه پروتز فلزی داره ک…
🎙 پادکست چرا مهاجرت کادر درمان به آلمان یک چالش بزرگ است؟
➕ خیلی از دوستان هستن که یا در فکر مهاجرت به آلمان هستن یا بزودی میخوان عازم بشن، تو این پادکست میتونن پاسخ خیلی از دغدغه هاشونو بگیرن
➕ اگر سوال دیگه ای داشتین تو کامنتا بنویسید تو قسمت های بعدی پادکستا در موردش صحبت کنیم.
📱 تماشا از یوتیوب :
🔗 https://youtu.be/o4ZedjVy6gQ
🖥 برای تهیه دورهی کامل به وبسایت ایمیا آنلاین مراجعه کنید :
imiaonline.com
🔝…
📌 تکنیک اندازه گیری CDI در سی تی اسکن
✔️ در این ویدیو، به آموزش یکی از تکنیک های پر کاربرد در مراکز ارتوپدی که به کمک سی تی اسکن اندازه گیری میشود پرداختیم.
✔️ با دیدن این ویدئو کاملا روی تکنیک اندازه گیری شاخص CDI مسلط خواهید شد.
📱 تماشا از یوتیوب :
🔗 https://youtu.be/KjKja4YWxoo
📱 تماشا از آپارات :
🔗 https://aparat.com/v/hsgrhkn
🖥 برای تهیه دورهی کامل به وبسایت ایمیا آنلاین مراجعه کنید :
imiaonline.com
🔝 لط…
📌 تکنیک TTTG در سی تی اسکن
✔️ در این ویدیو، به آموزش یک تکنیک پر کاربرد در مراکز ارتوپدی که به کمک سی تی اسکن اندازه گیری میشود پرداختیم.
✔️ با دیدن این ویدئو کاملا روی تکنیک TTTG مسلط خواهید شد.
📱 تماشا از یوتیوب :
🔗 https://youtu.be/xJnd0zkX2RY
📱 تماشا از آپارات :
🔗https://aparat.com/v/ovcj556
🖥 برای تهیه دورهی کامل به وبسایت ایمیا آنلاین مراجعه کنید :
imiaonline.com
🔝 لطفا با ارسال مطالب آموزشی به دوستان و …
📌 آموزش ورک فلوهای سی تی اسکن زیمنس ( سینگو ویا) - قسمت اول
✔️ ورک فلوهای مورد بحث:
➕ CT body perfusion
➕ CT bone reading
➕ CT cardiac
➕ CT cardiac Function
➕ CT cardiac planing
➕ CT CaScoring
➕ CT chest pain
➕ CT chest pain + PE CAD
➕ CT colonoscopy
➕ CT coronary
این آموزش بسیار مفید برای کارشناسان و کمک به پزشکان برای تشخیص بهتر خواهد بود.
📱 تماشا از یوتیوب :
🔗 https://youtu.be/GlidtLe3QOY
📱 تماشا از آپارات :…
🎙 پادکست سوال و جواب های " مهاجرت پرتوکاران به آلمان "
➕ راسته میگن آلمانیا خشک و نژاد پرستن؟ راسته میگن خرج زندگی تو آلمان درنمیاد؟ راسته میگن همراه خانواده نمیشه مهاجرت کرد؟ و ....
➕ در این پادکست سوالات بالا و همه سوالاتی که ممکنه براتون پیش بیاد جواب داده شده.
➕ اگر سوال دیگه ای داشتین تو کامنتا بنویسید تو قسمت های بعدی پادکستا در موردش صحبت کنیم.
✔️ این پادکست برای پرتوکارانی که قصد مهاجرت به آلمان دارند ب…
📌 آموزش بازسازی سی تی آنژیوگرافی ها | نکات ریز و درشت بازسازی RunOFF
در این ویدیو، به آموزش نحوه بازسازی تصاویر سی تی آنژیوگرافی را به صورت گام به گام پرداختیم
✔️ مباحث اصلی شامل:
➕ اصول پایه بازسازی تصاویر سی تی
➕ تکنیکهای پیشرفته برای بهبود کیفیت تصاویر عروقی
➕ نرمافزارهای تخصصی و ابزارهای مورد نیاز
➕ نکات کاربردی برای تشخیص و تفسیر بهتر
این آموزش بسیار مفید برای کارشناسان و کمک به پزشکان برای تشخیص بهتر خواه…
📌 نکات طلایی بازسازی Curve در سی تی اسکن
➕ در این ویدیو، با تکنیکهای پیشرفته بازسازی تصاویر CT آشنا میشوید که به تشخیص دقیقتر بیماریهایی مثل کرون کمک میکند.
➕ از روشهای ساده اما کاربردی مثل استفاده از خطوط Curve و زاویهدهی هوشمندانه تا بازسازیهای پیچیدهتر، یاد خواهید گرفت چگونه کیفیت تصاویر CT را به طور چشمگیری بهبود دهید.
➕ این دانش نه تنها به رادیولوژیستها، بلکه به تمام متخصصان پزشکی که با تصاویر CT سر …
👍5❤2
Showing the 12 most recent of 20 posts we hold for @imiaon. 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 — 332,685 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.
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 3 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.
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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association— we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“IMIAONLINE | ایمیا آنلاین 📚” (@imiaon), 687 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/imiaon.
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.