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 201–203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 21:26
202
no change
10 Aug 2026, 01:16
202
first reading
Engagement
19 posts held, back to 30 April 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
66.6%
avg views ÷ 202 subscribers
Avg views / post
135
10 posts measured
Reaction rate
4.16%
reactions ÷ views · ER floor
Posts in window
11
of 19 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 8 August 2026
Posts held
19 (30 April 2026 – 8 August 2026)
Views total
1,346
Reactions total
56
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 01:16 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
105 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 77.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
81
77.1%
❤🔥
17
16.2%
👌
3
2.86%
🆒
2
1.90%
👍
1
0.952%
😁
1
0.952%
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 18 of the 19 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 105reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 30 April 2026 to 8 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.
👁️ دستگاه فیکو؛ دقت در جزئیات، دید روشنتر به آینده
دستگاه فیکو (Phacoemulsification System) یکی از تجهیزات مهم در کاتاراکت (جراحی آب مروارید) است که با استفاده از امواج اولتراسونیک، عدسی کدرشده را خرد و خارج میکند و زمینه را برای قرارگیری لنز داخل چشمی (IOL) فراهم میسازد.
🔹 آشنایی با اجزای دستگاه
🔹 شناخت پارامترهای قابل تنظیم
🔹 کاربرد سیستمهای Irrigation، Aspiration و Vacuum
🔹 و نقش هندپیس فیکو در جراحی
همه در …
اندیکاتورهای شیمیایی داخل پک (Internal Chemical Indicator) فقط نشان میدهند که پارامترهای فرایند استریلیزاسیون (مانند دما، زمان و وجود بخار در اتوکلاو) تا حد قابل قبول در داخل بسته فراهم شدهاند و بنابراین تغییر رنگ مورد انتظار رخ داده است. 🧪🌡️📦
اما این اندیکاتورها بهتنهایی استریل بودن بسته را تضمین نمیکنند و همچنین صرفاً نشاندهنده گذراندن زمان مناسب هم نیستند، بلکه نشان میدهند شرایط لازم برای استریلیزاسیون در …
🚀 شوقانگیز است که در آستانه ورود به فصلی نوین از توسعه حرفهای در حوزه جراحیهای چشم باشیم🌟
آشنایی با اصطلاحات تخصصی، به عنوان نخستین گام استراتژیک، درک عمیقتر از فرآیندهای جراحی را تسهیل کرده و آمادگی دانشجویان و کارشناسان محترم اتاق عمل را برای دستیابی به بالاترین استانداردهای عملکردی ارتقا میدهد.
در این اینفوگرافیک ارزشمند، از طریق رویکردی مبتنی بر یادگیری مستمر، با کلیدیترین مفاهیم و مداخلات جراحی چشم، از ج…
https://survey.porsline.ir/s/5N7GnlZx
پرسشنامه اهدای عضو
💻 راه های ارتباطی با ما
اینستاگرام
تلگرام
ایتا
💬 انجمن علمی دانشجویی تکنولوژی اتاق عمل دانشکده علوم پزشکی بهبهان
دانشجو و فرهیخته ارجمند: 🎓✨
با سلام و احترام،
اینجانب کاظم علیزاده برزیان، دانشجوی کارشناسی ارشد رشته آموزش بهداشت و ارتقای سلامت دانشگاه علوم پزشکی یاسوج، در حال انجام پژوهشی با عنوان «بررسی تأثیر مداخله آموزشی بر قصد دریافت کارت اهدای عضو در دانشجویان دانشکده علوم پزشکی بهبهان» هستم. 📝🏥
از آنجا که شما به عنوان یکی از دانشجویان رشتههای علوم پزشکی، نقشی کلیدی در آگاهیرسانی و فرهنگسازی در حوزه سلامت دارید، نظرات…
🛑🛑 آخرین مهلت ثبت نام
✅ انجمن فناوری های نوین پزشکی دانشگاه علوم پزشکی تهران با همکاری مجموعه آموزشی نیووبینار برگزار می کند:
🩸💊 دوره جامع تفسیر آزمایشات
( صفر تا صد هرچی که لازم داری! )
✅ ✅ نسخه خوانی آزمایشگاه، تفسیر آزمایشات مختلف، بررسی برگه های آزمایش مختلف، شرایط آزمایش دادن، تشخیص بیماری های مختلف از روی آزمایشات، علل افزایش یا کاهش،کاربرد آزمایشات و ....
📝 سرفصل های دوره در پوستر موجود است.
‼️ظرفیت …
✅ برای ثبت نام و فعالیت در انجمن علمی اتاق عمل به آی دی زیر پیام دهید.
🆔 @rasool_sh32
❤7
Signed Rasool
Showing the 12 most recent of 19 posts we hold for @ast_behums. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
در درمان Femoral Neck Fracture (شکستگی جابجا شده گردن استخوان ران) در یک بیمار ۷۵ ساله با فعالیت روزمره مناسب، کدام روش معمولاً انتخاب مناسبتری است؟
گچ گیری لگن15%
فیکساسیون داخلی با پیچ کانوله55%
آرتروپلاستی18%
کشش اسکلتی به مدت ۶ هفته13%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 30 April 2026 to 8 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 775,287 of 1,169,250entries 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 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.
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.
“انجمن علمی اتاق عمل بهبهان” (@ast_behums), 202 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ast_behums.
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.
