This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
3 measurements spanning 8 days, 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 554–555 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 01:33
554
-1
6 Aug 2026, 22:30
555
no change
6 Aug 2026, 22:18
555
first reading
Engagement
19 posts held, back to 31 May 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
8.66%
avg views ÷ 554 subscribers
Avg views / post
48.0
1 post measured
Reaction rate
6.25%
reactions ÷ views · ER floor
Posts in window
1
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 2 August 2026
Posts held
19 (31 May 2026 – 2 August 2026)
Views total
48
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 22:30 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
9 reactions across 5 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
9
100.0%
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 5 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 9reactions 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 31 May 2026 to 2 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.
📣 فراخوان عضویت در شورای مرکزی کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی مازندران
کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی مازندران از تمامی اعضای فعال و علاقهمند برای اعلام آمادگی جهت عضویت در شورای مرکزی دعوت به عمل میآورد.
‼️انتخابات ویژه دانشجویان دانشکده های دندانپزشکی، داروسازی، پیراپزشکی، پردیس رامسر و فناوری های نوین پزشکی می باشد.‼️
📌 شرایط متقاضیان:
🔴 حداقل یک سال از شروع تحصیل گذشته…
📍 کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی مازندران | دانشکده پیراپزشکی برگزار میکند:
📚 کارگاه «ایدهپردازی و خلاقیت در کسبوکار »
👨🏫 مدرس
🔹 دکتر سید احسان اندرامی
🔹 عضو هیئت علمی گروه بیوتکنولوژی پزشکی
🔹 رئیس مرکز رشد فناوری سلامت
🔹️دانشگاه علوم پزشکی مازندران
📝 سرفصلهای کارگاه
🔹 ایده چیست؟
🔹️ ویژگیهای ایده موفق
🔹️ روشهای خلق ایده
🔹️ ارزیابی و انتخاب ایده
📅 چهارشنبه ۱۰ تیر ۱۴۰۵ | ساعت ۱۶:۰۰ بعد…
📢 کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی شهید بهشتی با همکاری دانشگاههای علوم پزشکی مازندران و بابل برگزار میکند:
🔹 کارگاه اول | معرفی پایگاههای اطلاعاتی اختراعات ایران، Lens و USPTO و نحوه جستوجو در آنها
👩🏫 مدرس:
دکتر لیلا میرزاپور
دکتری کتابداری و اطلاعرسانی پزشکی | پژوهشگر حوزه پتنت
📌 محورهای کارگاه:
✅ اهمیت جستوجوی اطلاعات پتنت
✅ آشنایی با مجموعه مدارک و پایگاههای اطلاعاتی اختراعات
✅ مع…
📍 کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی مازندران | دانشکده پیراپزشکی با همکاری انجمن علمی فناوری اطلاعات سلامت برگزار میکند:
📚 کارگاه «روپوش سفید یا مانیتور سیاه؟ »
👩🏻🏫 مدرس
🔹 سرکار خانم مائده زارع
🔹 دانشجوی دکتری دانشگاه علوم پزشکی مشهد
🔹 دانشگاه علوم پزشکی مازندران
👩🏻🏫 منتور
🔹 دکتر زهرا محمودوند
🔹 هیئت علمی رشته HIT و معاون دانشکده پیراپزشکی
🔹 دانشگاه علوم پزشکی مازندران
📝 سرفصلهای کارگاه
🔹 گ…
به همت کمیته تحقیقات و فناوری دانشجویی سه دانشگاه علوم پزشکی بابل، علوم پزشکی مازندران و علوم پزشکی شهید بهشتی کارگاه آموزشی «از ایده تا اختراع؛ از تجربه تا موفقیت» به صورت حضوری و آنلاین برگزار شد.
در این کارگاه، شرکتکنندگان با مسیر تبدیل طراحی مسئله، ارزیابی و مسیر ایده پردازی آشنا شدند. امید است که این آموزه ها شروعی برای مسیری نو باشد.
این برنامه با تدریس سرکار خانم یاسمن مهدیزاده دریان، استراتژیست کسبوکار ،…
🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻
📣 مهلت ثبتنام و ارسال ایده تمدید شد!
🔺🔺🔺🔺🔺🔺🔺
📍 کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی مازندران | دانشکده پرستاری و مامایی ساری برگزار میکند:
🔷 ششمین استارتآپ ایده نو، سلامت نو
🔹 ویژه دانشجویان دانشگاه علوم پزشکی مازندران
🥇 هدیه ۵۰/۰۰۰/۰۰۰ ریالی برای تیم اول
🥈 هدیه ۳۰/۰۰۰/۰۰۰ ریالی برای تیم دوم
🥉 هدیه ۲۰/۰۰۰/۰۰۰ ریالی برای تیم سوم
🗺️ مکان: دانشکده پرستاری و مامایی نسیبه ساری
📅 تاریخ برگزار…
🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻
📣 ۲۴ ساعت تا پایان مهلت ثبتنام و ارسال ایده!
🔺🔺🔺🔺🔺🔺🔺
📍 کمیته تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی مازندران | دانشکده پرستاری و مامایی ساری برگزار میکند:
🔷 ششمین استارتآپ ایده نو، سلامت نو
🔹 ویژه دانشجویان دانشگاه علوم پزشکی مازندران
🗺️ مکان: دانشکده پرستاری و مامایی نسیبه ساری
📅 تاریخ برگزاری: ۲۸ و ۲۹ خرداد ۱۴۰۵ ~ از ساعت ۰۷:۳۰ صبح
🧨 مهلت ارسال ایده: حداکثر تا ۲۳ خرداد ۱۴۰۵
📨 لینک ثبت ایده: z…
📣 کمیته تحقیقات و فناوری دانشجویی دانشکده توانبخشی علوم پزشکی ایران و مرکز رشد فناوری سلامت دانشگاه علوم پزشکی سمنان برگزار می کنند:
⭕️ دوره جامع "صفر تا صد استخراج مقاله ISI از پایان نامه با کمک هوش مصنوعی"
🚀 به منظور:
1⃣ آموزش عملی تبدیل پایان نامه های دانشجویی و بین المللی به مقالات معتبر ژورنالی و افزایش امتیاز علمی
2⃣ تسریع و تسهیل مسیر انتشار با بهرهگیری هدفمند از ابزارهای AI
‼️ ویژه تمامی پژوهشگران از جم…
🟣 لینک جلسه | ۲۰ دقیقه تا شروع کارگاه
به اطلاع شرکتکنندگان محترم میرساند،
جهت ورود به کارگاه از طریق لینک زیر وارد جلسه شوید:
https://www.skyroom.online/ch/rooydadestan/mazsrtc
🔸 گزینه «مهمان» را انتخاب کنید.
🔸 لطفاً پس از ورود، نام کامل فارسی خود را درج نمائید.
🔸 کارگاه راس ساعت ۱۶:۰۰ آغاز خواهد شد.
کمیته تحقیقات و فناوری دانشگاه علوم پزشکی بابل، با همکاری کمیته تحقیقات و فناوری دانشگاه علوم پزشکی بهشتی و مازندران، برگزار میکند:
💡 از ایده تا اختراع، از تجربه تا موفقیت
اگر ایدهای در ذهن دارید و میخواهید آن را به یک محصول، اختراع یا کسبوکار موفق تبدیل کنید، این کارگاه فرصتی ارزشمند برای یادگیری مسیر درست است.
در این کارگاه با مراحل ایدهپردازی، خلاقیت، ثبت و توسعه اختراع، بهرهگیری از تجربیات عملی و راهکاره…
📍 کمیته تحقیقات و فناوری دانشجویی دانشکده پیراپزشکی | دانشگاه علوم پزشکی مازندران برگزار میکند:
📚 کارگاه «از میز آزمایشگاه تا قله دانش: نقشه راه ادامه تحصیل در رشته علوم آزمایشگاهی »
👨🏫 مدرس
🔹 دکتر سعید تقیلو
🔹 هیئت علمی گروه ایمونولوژی دانشکده پزشکی
🔹 دانشگاه علوم پزشکی مازندران
📝 سرفصلهای کارگاه
🔹 انتخاب رشته ارشد
🔹 مسیر دکتری
🔹 آینده شغلی و پژوهشی
🔹 تجربههای واقعی مسیر آکادمیک
📅 پنجشنبه ۲۱ خرداد ۱۴۰۵ | …
❤1
Signed Setayesh Aslani
Showing the 12 most recent of 19 posts we hold for @pira_mazums_research_commite. 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 — 715,637 of 1,565,402entries 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.
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
@pira_mazums_research_commite 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.
@aylar_mahdiloo named in 2 posts, 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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“کمیته تحقیقات و فناوری دانشجویی دانشکده پیراپزشکی” (@pira_mazums_research_commite), 554 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/pira_mazums_research_commite.
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.