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 198–200 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 04:03
199
no change
6 Aug 2026, 19:47
199
first reading
Engagement
19 posts held, back to 9 August 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 19 posts for this entry, the most recent from 23 November 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
27
Links
11
Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
7 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 71.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5
71.4%
👍
2
28.6%
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 6 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 7reactions 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 9 August 2024 to 23 November 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.
Forwarded from @IranDentistryPracticalResearchPhoto
[🖼 📣 انجمن آموزش و تحقیقات کابردی دندانپزشکی ایران و کمیته تحقیقات دانشجویی دانشکده دندانپزشکی شهید بهشتی و هسته فناور مدیکور و با همکاری سایر مراکز همکار برگزار می کند:
⭕️ دوره جامع "نگارش مقالات مروری سیستماتیک (Systematic Review) به دو روش کلاسیک و با بهره گیری از هوش مصنوعی"
🚀 برای سرعت ۳ برابری (x3) در انجام مطالعات مرور سیستماتیک❗️
💢 ویژگی های ارزشمند دوره:
📍 حلِ مشکل زمانبر بودن نگارش مقالات سیستماتیک ریو…
🔷🔶کمیته تحقیقات دانشجویی دانشکده دندانپزشکی شهید بهشتی برگزار میکند:
جهت انجام فعاليت های پژوهشی و نگارش مقاله در رشته مورد علاقه خود میتوانید در قالب هسته های پژوهشی و زیر نظر اساتید شروع به فعالیت کنید
حیطه های پژوهشی:
هوش مصنوعی
جراحی فک و صورت
ارتودنسی
مهندسی بافت
پروتز های دندانی
اندودانتیکس
دندانپزشکی کودکان
بیماری های دهان
پریودانتیکس
علوم پايه
مواد دندانی
سلامت دهان
جهت شرکت در دوره فرم زیر را تکمیل کنید…
🔴دوستان با عرض پوزش امروز استاد گفتند که یه مشکلی واسشون پیش اومده و نمیتونن تا پنجشنبه حاضر بشن و کارگاه رو واسه هفته بعد بندازیم
♦️♦️ تاریخ جدید کارگاه پنجشنبه ۳ مهر ساعت ۱۰ تا ۱۲
🔹 انجمن تحقیقات کاربردی دندانپزشکی ایران، کمینه تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی شهید بهشتی، گلستان و مازندران برگزار میکند.:
📌 کارگاه تخصصی:
اصول و تکنیک های نگارش مقاله
👨🏫 مدرس:
دکتر سارا سیمرغ
✅ عضو هیئت علمی گروه مهندسی بافت و علوم سلول کاربردی
🗓 زمان برگزاری:
جلسه اول: ۲۷ شهریور ۱۴۰۴، ساعت ۱۰ - ۱۲ صبح
🌐 بستر برگزاری: اسکای روم
✍️ برای ثبت نام به آیدی ادمین پیام دهید
🔹 کمیته تحقیقات دانشجویی دانشکده دندانپزشکی بابل با همکاری کمیته تحقیقات دانشکده دندانپزشکی دانشگاه علوم پزشکی شهید بهشتی برگزار میکند:
📌 کارگاه تخصصی:
کاربرد هوش مصنوعی در دندانپزشکی؛مزایا_چالشها
👨🏫 مدرس:
دکتر حسین محمد رحیمی
✅ فلوشیپ دکترا، گروه دندانپزشکی و سلامت دهان، دانشگاه آرهوس، آرهوس، دانمارک
✅ استاد مهمان، دندانپزشکی محافظهکارانه، پریودنتولوژی و دندانپزشکی دیجیتال، کلینیک LMU، مونیخ، آلمان
🗓 زمان ب…
توضیحات مجدد دکتر صافی معاون محترم پژوهشی و فناوری دانشکده👇
لطفا دوستانی که متقاضی هستند و شرایط لازم را دارند به آیدی کمیته تحقیقات پیام دهند @DRCadmin
«رویداد استارتاپی ققنوس»
به میزبانی کمیته تحقیقات دانشجویی دانشگاه علوم پزشکی ارتش🇮🇷
⬅️«با رویکرد طب نظامی»
حیطه های رویداد
🔽
• تجهیزات
• اپلیکیشن
• درمان
• هوش مصنوعی
🔼
با «دومیلیارد و دویست و بیست و پنج میلیون ریال» گرنت برای تیم های برتر🥇🥈🥉
در قالب تیم ۲ الی ۴ نفره
🛑برای دریافت اطلاعات بیشتر و ثبت نام
به ادمین @S_m_fadavi
پیام دهید .
https://t.me/ghoghnoos_startup
❤1👍1
Showing the 12 most recent of 19 posts we hold for @DentistryResearchCommittee. 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 — 953,190 of 1,176,251entries 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 10 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.
Handles this channel named that no longer answer
Dead references
2
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
2
vacant every time we have ever looked
@DentistryResearchCommittee named 2 handles 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.
@dentistryresearchcommitte named in 1 post, 8 August 2026 – 8 August 2026
@systematic_course 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.
“کمیته تحقیقات دندانپزشکی شهید بهشتی” (@DentistryResearchCommittee), 199 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/DentistryResearchCommittee.
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.
