2 measurements taken within a single day. 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 679–681 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 08:47
680
no change
7 Aug 2026, 06:32
680
first reading
Engagement
20 posts held, back to 26 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
52.6%
avg views ÷ 680 subscribers
Avg views / post
358
2 posts measured
Reaction rate
0.42%
reactions ÷ views · ER floor
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
Window
Rolling 30 days · latest post in window 23 July 2026
Posts held
20 (26 December 2025 – 23 July 2026)
Views total
715
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 06:32 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.
Reaction mix
17,486 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 99.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👎
17,424
99.6%
❤
21
0.12%
😐
21
0.12%
😡
7
0.04%
👍
6
0.034%
😭
3
0.017%
🫡
2
0.011%
🏆
1
0.006%
🤯
1
0.006%
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 13 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 17,486reactions 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 26 December 2025 to 23 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.
🛍️ خرید و فروش بیواسطه دانشجویان علوم پزشکی
🎯 اینجا دقیقا همونجاست که نیاز داری:
🔹 خرید و فروش بیواسطه: کتاب، روپوش، گوشی پزشکی، وسایل دندانپزشکی و…
🔹 خدمات دانشجویی: ثبت رایگان آگهی تایپ، پاورپوینت، ترجمه و پروژههای پژوهشی
🔹 تبادل دانش: پرسش و پاسخ درسی و استفاده از تجربیات سالبالاییها
🌱 تمامی خدمات برای اعضای کانال «رایگان» است.
برای اینکه هیچ فرصتی رو از دست ندی، حتماً عضو هر دو کانال شو:
👇 لینک عضویت د…
🔴🔴دوره آموزشی کار با آپتودیت 🔴🔴
اگر میخواهید بر بالین بیمار کسی دستتان را بگیرد و قدم به قدم در مسیر تشخیص و درمان راهنماییتان کند و شما هم به واسطه اعتبارش به آن اطمینان کامل داشته باشید، پیشنهاد میکنم کار با آپتودیت را یاد بگیرید. قطعا شنیده اید که اساتیدتان به آن قسم میخورند!
مدرس: دکتر حسین محمدی ؛ پزشک و پژوهشگر
👈👈👈مشاهده دوره 👉👉👉
🟩کانال آموزشی دکتر محمدی🟩:
👉👉👉@note_of_medico👈👈👈
📖 دوست داری با استاد قارونی کتاب بنویسی؟
🫀 دوره جامع قلب با قارونی
📚 در این دوره، طی 13 جلسه آفلاین، مباحث مهم قلب و عروق از پایه تا بالین شامل ECG، آریتمیها، ACS، نارسایی قلبی، بیماریهای دریچهای، فشار خون، داروهای قلب و بررسی کیسهای بالینی بهصورت جامع و کاربردی تدریس میشوند.
🎥 13 جلسه آفلاین به همراه 2 جلسه آنلاین پرسش و پاسخ با خود استاد قارونی
🎞 در انتهای دوره، 100 نوار قلب از کیس های واقعی با مشارکت شما…
امتحان درس حوادث و بلایا
🟣امتحان درس حوادث و بلایا جهت دانشجویان جامانده از امتحان نیمسال قبل که به صورت حضوری در دانشگاه و یا مجازی در دانشگاه هوشمند درس را اخذ نموده اما موفق به حضور در جلسه امتحان نشده اند در تاریخ 08/ 04/ 1405 ساعت 12 واقع در کلاس 16 پزشکی برگزار خواهد شد.
🗳 معرفی لیست پیشنهادی کاندیدهای شورای صنفی دانشجویان
انتخابات شورای صنفی دانشجویان فرصتی است تا با انتخاب نمایندگان توانمند، پیگیر و مسئولیتپذیر، مسیر مطالبهگری و پیگیری حقوق دانشجویان با قدرت بیشتری ادامه پیدا کند.
✅ از شما دعوت میشود با مراجعه به سامانه و حمایت از اسامی معرفیشده در تصویر، در شکلگیری شورایی مؤثر و مطالبهگر مشارکت کنید.
🗓 تاریخ برگزاری انتخابات :
امروز چهارشنبه ۲۷ خرداد
⏰ ساعت ۸ صبح تا ۱۶
…
📢 اطلاعیه تمدید ثبتنام انتخابات شورای صنفی
به اطلاع دانشجویان گرامی میرساند؛
مهلت ثبتنام انتخابات تمدید شد.
⏳ آخرین مهلت ثبتنام: پایان روز ۱۰ خرداد ماه
از تمامی دانشجویان علاقهمند دعوت میشود در فرصت باقیمانده نسبت به ثبتنام اقدام نمایند.
🖥 سامانه ثبتنام:
student.umsha.ac.ir
👤 نام کاربری: شماره دانشجویی
🔑 رمز عبور: کد ملی
📅 مهلت ثبتنام:
تا ۷ خرداد ماه
⚜️شورای صنفی علوم پزشکی همدان
📣 کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی همدان برگزار می کند :
🌟مدرسه مقدماتی و پیشرفته پژوهش به زبان کردی🌟
👨🎓 مناسب برای : تمامی دانشجویان و علاقمندان به پژوهش کرد زبان
🧑💻 ۱۳ کارگاه در ۴ حیطه با عناوین :
۱. متدولوژی پژوهشی
۲. آمار کاربردی
۳.نگارش مقالات علمی با رویکرد های مدرن
۴.هوش مصنوعی در پژوهش
✳️سه شنبه ها ساعت ۱۵ الی ۱۷
🕰شروع کارگاه ها : سه شنبه ۵ اسفند ماه ۱۴۰۴
مدرس: جناب آقای دکتر زاهد ر…
✅ اطلاعیه تغذیه
🗣 به اطلاع دانشجویان میرساند مشکلاتی که برای سامانه تغذیه برخی از دانشجویان ایجاد شده بود، با پیگیریهای شورای صنفی برطرف شد و سامانه مجدداً فعال شده است.
🔄 دانشجویانی که همچنان با مشکل مواجه هستند، مورد را تا ساعت ۱۴ به آیدی زیر اطلاع دهند:
⏺ @Ariaahmadian81
📌 همچنین در خصوص دانشجویانی که طبق اعلام دانشکدهها از ابتدای اسفند ملزم به حضور در دانشگاه هستند، با پیگیریهای شورای صنفی مشکلی برای حضور…
Showing the 12 most recent of 20 posts we hold for @httpsmedicalmehr1400group1. 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 — 955,710 of 1,151,006entries 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
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 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@httpsmedicalmehr1400group1 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@note_of_medico named in 1 post, 8 August 2026 – 8 August 2026
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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“MED UMSHA 1400” (@httpsmedicalmehr1400group1), 680 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/httpsmedicalmehr1400group1.
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.
