4 measurements spanning 6 days. 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 2,203–2,204 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 22:54
2,203
-1
9 Aug 2026, 08:11
2,204
+1
6 Aug 2026, 06:04
2,203
no change
5 Aug 2026, 23:25
2,203
first reading
Engagement
15 posts held, back to 29 January 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
28.1%
avg views ÷ 2,203 subscribers
Avg views / post
618
6 posts measured
Reaction rate
0.626%
reactions ÷ views · ER floor
Posts in window
6
of 15 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. It is computed over the 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 1 August 2026
Posts held
15 (29 January 2026 – 1 August 2026)
Views total
3,708
Reactions total
19
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:51 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.
What this channel posts
Video runtime
4m 15s
Average length
1m 25s
Measured directly from 3 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.
Reaction mix
248 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 63.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💔
157
63.3%
❤
53
21.4%
😢
8
3.23%
⚡
7
2.82%
👏
7
2.82%
🎉
5
2.02%
🤔
5
2.02%
🔥
2
0.806%
😭
2
0.806%
😱
1
0.403%
🙏
1
0.403%
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 15 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 248reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 29 January 2026 to 1 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.
⚙️آلیاژهای انتروپی بالا؛ تحولی نوین در طراحی و توسعه مواد پیشرفته
💡آلیاژهای آنتروپی بالا (HEAs) نسل جدیدی از مواد مهندسی هستند که به دلیل آنتروپی اختلاط بالا، ترکیبی از استحکام و سختی زیاد، شکلپذیری مناسب، مقاومت در برابر سایش، خوردگی و اکسیداسیون و پایداری حرارتی را ارائه میدهند و بهعنوان یکی از امیدوارکنندهترین مواد برای کاربردهای پیشرفته شناخته میشوند.
💣 از میان روشهای تولید، متالورژی پودر و آلیاژسازی مکان…
فراخوان رسمی ارسال مقالات سیوسومین کنفرانس ملی و یازدهمین کنفرانس بینالمللی مهندسی زیستپزشکی ایران (ICBME 2026)
پژوهشگران، اساتید و فرهیختگان گرامی،
دبیرخانه سیوسومین کنفرانس ملی و یازدهمین کنفرانس بینالمللی مهندسی زیستپزشکی ایران با افتخار از تمامی متخصصان، دانشپژوهان و فعالان حوزه سلامت و مهندسی دعوت مینماید تا جدیدترین یافتههای علمی و پژوهشی خود را جهت ارائه در این رویداد بزرگ به اشتراک بگذارند.
این دو…
فراخوان ارسال مقاله
نشریه علوم و مهندسی سطح از پژوهشگران، اعضای هیئت علمی، دانشجویان و متخصصان صنعت دعوت میکند تا دستاوردهای علمی و پژوهشی خود را در حوزه علوم و مهندسی سطح برای انتشار در این نشریه ارسال کنند.
محورهای کلی نشریه:
🔹 پوششها و فرایندهای نوین سطح
🔹 خوردگی، حفاظت و دوام مواد
🔹 سایش، تریبولوژی و خواص مکانیکی سطح
🔹 روشهای ساخت لایههای نازک و پیشرفته
🔹 نانوزیستمواد و کاربردهای سطوح
🔹 مدلسازی، شبیهسازی …
🔸مواد با سیالیت متغیر؛ انقلاب آرام در علم مواد هوشمند
مواد با سیالیت متغیر (Variable Viscosity Materials – VVMs) دستهای از مواد هوشمند هستند که میزان ویسکوزیته یا چسبناکی آنها بر اثر تغییر دما، میدان مغناطیسی یا الکتریکی، فشار و حتی نور قابل کنترل است. این ویژگی منحصربهفرد، امکان طراحی سیستمهایی را فراهم میکند که رفتارشان از مایع نرم تا شبهجامد متغیر است. از سیالات مگنتورئولوژیک تا ژلهای الکتروفعال، کاربرد …
#اشتراک_محتوای_علمی_آموزشی
📃🔵 انجمن علمی مهندسی متالورژی و مواد دانشگاه تهران برگزار میکند:
📌 دورهی مجازی آموزش نرمافزار Chemdraw
https://t.me/Materials_ut/4338
فراخوان رسمی ارسال مقالات سیوسومین کنفرانس ملی و یازدهمین کنفرانس بینالمللی مهندسی زیستپزشکی ایران (ICBME 2026)
پژوهشگران، اساتید و فرهیختگان گرامی،
دبیرخانه سیوسومین کنفرانس ملی و یازدهمین کنفرانس بینالمللی مهندسی زیستپزشکی ایران با افتخار از تمامی متخصصان، دانشپژوهان و فعالان حوزه سلامت و مهندسی دعوت مینماید تا جدیدترین یافتههای علمی و پژوهشی خود را جهت ارائه در این رویداد بزرگ به اشتراک بگذارند.
این دو…
#گزارش_تصویری
📸 چهارمین نشست تخصصی ساخت افزایشی (Additive Manufacturing)
📅 ۱۴۰۴/۰۹/۱۱
💬 با ما در ارتباط باشید:
Telegram
Instagram
#سمینار #ساخت_افزایشی #انجمن_علمی #دانشکده_مهندسی_مواد #دانشگاه_صنعتی_اصفهان
#گزارش_تصویری
📸 از دانشگاه تا صنعت، روایت تجربه یک مهندس مواد موفق
📅 ۱۴۰۴/۱۰/۰۹
💬 با ما در ارتباط باشید:
Telegram
Instagram
#سمینار #انجمن_علمی_مهندسی_مواد #دانشگاه_صنعتی_اصفهان
#گزارش_تصویری
📸 شب یلدا و روز دانشجو
📅 ۱۴۰۴/۱۰/۰۲
مرور خاطرات
با احترام به غم ایران
💬با ما در ارتباط باشید:
Telegram
Instagram
#شب_یلدا #روز_دانشجو #انجمن_علمی #دانشکده_مهندسی_مواد #دانشگاه_صنعتی_اصفهان
🔹 تبریک و قدردانی
▫️ ضمن عرض تبریک به جناب آقای دکتر احمد کرمانپور بابت انتصاب به عنوان رئیس دانشکده، برای ایشان در این مسئولیت آرزوی سلامتی، موفقیت و توفیق روزافزون داریم.
▫️ از جناب آقای دکتر مسعود عطاپور بابت زحمات، پیگیریها و همراهیهایی که در دوران مسئولیت خود برای دانشکده داشتند، صمیمانه سپاسگزار و قدردانیم. تلاشهای ایشان در این مدت برای مجموعه دانشکده ارزشمند و قابل احترام است.
▫️ امیدواریم در ادامه این م…
با سلام و احترام
به اطلاع میرساند دانشکده برای حضور در مجلس ترحیم مرحوم مهندس مهدی طالبی، یک اتوبوس تدارک دیده است که روز پنجشنبه ساعت ۱۴:۱۵ از درب جنوبی دانشگاه به مقصد باغبهادران حرکت خواهد کرد.
از عزیزانی که مایل به همراهی هستند، خواهشمند است جهت ثبت نام و هماهنگی، آمادگی خود را از طریق یکی از راههای زیر اعلام فرمایند:
تلگرام: @H_k20011
بله: @K20011
حضور شما مایه دلگرمی و تسلای خاطر خانواده محترم آن مرحوم خ…
💔18❤1😢1
Showing the 12 most recent of 15 posts we hold for @materials_iut. 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 — 163,258 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 9 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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی مهندسی مواد صنعتی اصفهان” (@materials_iut), 2,203 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/materials_iut.
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.