Channel
@AMSA_RUMS
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
300subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002350140947 |
|---|---|
| Type | Channel |
| Username | @AMSA_RUMS |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/AMSA_RUMS |
Science — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 |
|---|---|---|
| 17 Sept 2026, 04:55 | 300 | +1 |
| 8 Sept 2026, 20:55 | 299 | +1 |
| 30 Aug 2026, 17:24 | 298 | +1 |
| 24 Aug 2026, 01:57 | 297 | -2 |
| 15 Aug 2026, 17:03 | 299 | -2 |
| 8 Aug 2026, 08:01 | 301 | no change |
| 7 Aug 2026, 17:48 | 301 | first reading |
13 posts held, back to 16 December 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 13 posts for this entry, the most recent from 21 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
51 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 88.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 45 | 88.2% | |
| 🔥 | 3 | 5.88% | |
| 👍 | 2 | 3.92% | |
| 🥰 | 1 | 1.96% |
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 13 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 51 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 16 December 2025 to 21 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.
🧬 پژوهشگران راز شکلگیری موهای فر را در زیر پوست پیدا کردند. 🔹دانشمندان دریافتند که دلیل اصلی فر یا صاف بودن موها، نه به نوع مراقبت از مو و نه به شرایط محیطی، بلکه به ساختار فولیکولهای مو در زیر پوست سر مربوط است. فولیکولهای خمیده باعث میشوند تار مو هنگام رشد از ابتدا حالت منحنی پیدا کند، در حالی که فولیکولهای صافتر معمولاً موهای مستقیم ایجاد میکنند. 🔹بررسیها نشان میدهد تفاوت در نحوه رشد و بلوغ سلولها در د…
🔥2🥰1
🎯دوستان علاقه مند به پژوهش میتونن در این وبینار شرکت کنند.
� اولین نشست سلسله وبینارهای پژوهش پزشکی در فراسوی مرزها MedResearch Beyond Borders 🎯 موضوع: پژوهش دقیق و بازتولیدپذیر 👤 سخنران: دکتر محمد امین الهی نجفی (مرکز پزشکی دانشگاه روچستر) 🗓 یکشنبه ۳ اسفند ۱۴۰۴ ⏰ ساعت ۲۰ به وقت تهران 🌐 بدون ثبتنام؛ شرکت آنلاین: https://www.skyroom.online/ch/vcrt/nimadwebinar این وبینار فرصتی ارزشمند برای دانشجویان PhD، رزیدنتها و اعضای هیئت علمی جوان است تا با استانداردهای نوین پژوه…
❤3
💫کمیته آموزش پزشکی امسا رفسنجان تقدیم میکند: 🔔پارت سوم از سلسله کلیپ های شغل دانشجویی امسا گپ و گفت خودمونی با امدادگر هلال احمر و بررسی چالش های این مسیر تشکر ویژه از اقای محسن ایت اللهی بابت همکاریشون راستی اگ پارت یک و دو رو ندیدی حتما ببین که کلی توصیه کاربردی داره ✨ #کمیته_آموزش_پزشکی_امسا
❤7
💫کمیته آموزش پزشکی امسا رفسنجان تقدیم میکند: 🔔پارت دوم از سلسله کلیپ های شغل دانشجویی امسا اگه همیشه برات سوال بوده که میشه در کنار دانشجو بودن یه مهارت مرتبط با رشته مون هم به دست بیاریم یا نه یه مهارتی که در کنارش بشه به درآمد هم رسید این کلیپ جواب سوالتو میده از یک دانشجو پزشکی که به عنوان دستیار متخصص کار میکنه بشنو تشکر ویژه از اقای محمدمهدی مولائی بابت همکاریشون راستی اگ پارت یک رو ندیدی حتما ببین که کلی …
❤4
🌟معاونت تحقیقات و فناوری دانشگاه با همکاری واحد توسعه آموزش پزشکی برگزار می کند: " کارگاه پژوهش و نشر اخلاقی" با مجوز اخلاق از کمیته ملی اخلاق و دارای امتیاز اموزشی می باشد. ⏰زمان : یکشنبه ۱۴ دیماه ۱۴۰۴ ساعت ۱۰ صبح 📍مکان: سالن کنفرانس آموزش طبقه دوم بیمارستان علی ابن ابیطالب (ع) ✨گروه هدف: اعضای هیئت علمی، دانشجویان و پژوهشگران و پرسنل لینک ثبت نام ویژه اعضای محترم هیئت علمی :tabib.rums.ac.ir 🔴قابل ذکر است گواهی…
❤4
Signed 𝑀𝒶𝒽𝓁𝒶 𝐵𝒶𝓀𝒽𝓉𝒾𝓎𝒶𝓇𝒾
چرا در دوره امتحانات بیشتر مریض میشویم؟!🤧 بسیاری از دانشجویان تجربه کردهاند که درست در حساسترین روزهای امتحان، دچار سرماخوردگی، گلودرد یا علائم شبیه آنفولانزا میشوند. این اتفاق تصادفی نیست و دلایل علمی مشخصی دارد. ۱. استرس؛ دشمن پنهان سیستم ایمنی😬 در دوره امتحانات، بدن به طور مداوم در حالت استرس قرار دارد. استرس طولانیمدت باعث افزایش هورمونهایی مثل کورتیزول میشود که میتوانند عملکرد سیستم ایمنی را تضعیف کنن…
❤5
Signed вιтα
Photo, posted without a caption
Signed вιтα
💢جلسه رفع اشکال و توضیحات پروپوزال و مقاله نویسی امسا برگزار شد🤩 ✅ در این جلسه نکات مهم مرتبط با پژوهش و نحوه نگارش شرح داده شد. 🔘همینطور در پرسش و پاسخ سوالات نیز تمامی موارد به خوبی مورد بررسی قرار گرفتند.💯 @AMSA_RUMS
❤12
⭕️جلسه رفع اشکال پروپوزال و مقاله نویسی کلاس ۱۰۴ ساعت ۱۵:۳۰ شروع خواهد شد
👍2
Photo, posted without a caption
Signed 𝑀𝒶𝒽𝓁𝒶 𝐵𝒶𝓀𝒽𝓉𝒾𝓎𝒶𝓇𝒾
📘 ارزیابی شدت نارسایی میترال با سمع دیجیتال و هوش مصنوعی 💓 مقدمه 🔹 نارسایی میترال (MR) شایعترین اختلال دریچهای قلب است (شیوع حدود 2.5%). 🔹 اکوکاردیوگرافی روش استاندارد ارزیابی MR است، اما محدودیتهایی دارد؛ از جمله: ▫ وابستگی به اپراتور ▫ دسترسی محدود ▫ پیچیدگی دستگاههای داپلر رنگی 🔹 سمع دیجیتال همراه با هوش مصنوعی میتواند راهی سریع، کمهزینه و در دسترس برای ارزیابی شدت MR باشد. 🫀 انواع نارسایی میترال 🔸 نوع آلی: …
❤6
Signed 𝑀𝒶𝒽𝓁𝒶 𝐵𝒶𝓀𝒽𝓉𝒾𝓎𝒶𝓇𝒾
Showing the 12 most recent of 13 posts we hold for @AMSA_RUMS. 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 1 registered channel — 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“AMSA RUMS” (@AMSA_RUMS), 300 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/AMSA_RUMS.
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.