4 measurements spanning 6 days, net +16. 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 6,258–6,278 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 14:47
6,276
+5
9 Aug 2026, 18:41
6,271
+7
6 Aug 2026, 16:40
6,264
+4
6 Aug 2026, 04:04
6,260
first reading
Engagement
19 posts held, back to 6 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
24.3%
avg views ÷ 6,276 subscribers
Avg views / post
1,530
3 posts measured
Reaction rate
0.59%
reactions ÷ views · ER floor
Posts in window
4
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 (6 December 2025 – 8 August 2026)
Views total
4,580
Reactions total
27
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:21 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
754 reactions across 17 posts, in 19 distinct kinds. The most used accounts for 56.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💔
425
56.4%
❤
119
15.8%
🤣
57
7.56%
🕊
28
3.71%
🔥
26
3.45%
👎
25
3.32%
❤🔥
18
2.39%
🤩
18
2.39%
😢
17
2.25%
👌
6
0.796%
🏆
3
0.398%
👍
3
0.398%
😁
3
0.398%
🎉
1
0.133%
👏
1
0.133%
💯
1
0.133%
😍
1
0.133%
🙏
1
0.133%
🥴
1
0.133%
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 17 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 754reactions 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 6 December 2025 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.
سلام بچهها
دوره جدید (چهارم) زیستیار بهزودی برگزار میشه.
اگر کنجکاوی تا یک پدیده در دنیای علوم زیستی را عمیق تر بفهمی یا با یک زمینه که برایت همیشه جالب بوده عمیق ترآشنا بشوی، این طرح برای توست.
در طی این دوره سهماهه، هر دانشجو زیر نظر یک راهنما (یکی از ما!) به مطالعه در حوزه مورد علاقه خود میپردازد.
درباره ما:
ما جمعی از زیست شناسان ایرانی داخل و خارج از ایران هستیم. هدف ما از برگزاری این دوره این است که به …
🔧 پروژه 100RFS شروع شد.
۱۰۰ مسئلهی واقعی، از دل صنعت و بازار؛
۱۰۰ فرصت برای ساختن.
کارخانه هوش مصنوعی ایران، این مسئلهها را از دل صنعت، بازار و کسبوکارهای کشور استخراج کرده تا تیمها روی نیازهای واقعی کشور کار کنند؛ نه مسئلههای فرضی.
🌱در انجمن علمی توسعه پایدار دانشگاه تهران، این فرصت را با کسانی به اشتراک میگذاریم که باور دارند آینده، با حل مسئلههای واقعی ساخته میشود؛ بهویژه اگر هوش مصنوعی بتواند بخشی از را…
🔖🔖🔖🔖🔖
💥«مجموعه علمی و پژوهشی مدارس میان رشته ای با همکاری 50 استاد از دانشگاه های گوتینگن و DPZ آلمان،پنسیلوانیا آمریکا،علوم پزشکی های تهران،شهید بهشتی و ایران،دانشگاه های تهران، صنعتی امیرکبیر و ...» برگزار می کند:
🚨«طرح پژوهشی و تربیت پژوهشگر در نوروساینس و علوم شناختی »🚨
👤اساتید ارائه های آغازین:
🔹مسعود کارگر،دانشگاه گوتینگن آلمان
🔹معین اسقایی،مرکز جانورشناسی آلمان
🔹گلناز بغدادی،دانشگاه صنعتی امیرکبیر
🔹آرش زار…
با نهایت تأسف و تأثر درگذشت ناباورانهی عزیز از دسترفتهمان شادروان مهسا مهرورز را به اطلاع دوستان، همکلاسیها و آشنایان میرسانیم.
این ضایعهی دردناک را به خانوادهی محترم ایشان، اساتید، دوستان و تمامی عزیزان داغدار صمیمانه تسلیت عرض میکنیم و برای بازماندگان صبر و آرامش آرزو داریم.
مراسم یادبود آن عزیز سفرکرده روز یکشنبه ۱۰ خرداد، ساعت ۱۱ الی ۱۳، در آمفیتئاتر دانشکده بیوتکنولوژی برگزار خواهد شد.
حضور گرم شما …
◾️اندوهی که بر دلهای ما نشسته، در کلام و واژگان نمیگنجد. از دست رفتن جانهای عزیز و بیگناه، زخمی عمیق بر دلها و حافظهی جمعی ما بر جای گذاشته است.
با نهایت احترام و همدلی در برابر سوگی که تسلی نمیپذیرد، جانباختن هممیهنانمان را به مردم بردبار و داغدیدهی ایران تسلیت میگوییم.
یادشان گرامی.
انجمن علمی دانشجویی بیوتکنولوژی دانشگاه تهران
✳️ انجمن علمی بیوتکنولوژی پژوهشگاه ملی مهندسی ژنتیک و زیست فناوری با همکاری آکادمی ساینسینو برگزار میکند:
🔸سیستم کریسپر : از طراحی تا آزمایشگاه با رویکرد ویرایش ژنوم 🔸
✴️سرفصل های دوره #کریسپر(CRISPR)
🔶جلسه مقدماتی :
🔹آشنایی با انواع سیستم کریسپر با رویکرد ژن درمانی و مقدمات طراحی سازه کریسپر
🔶جلسه پیشرفته :
🔹طراحی سازه کریسپر (sgRNA و donor) شبیه سازی مراحل آزمایشگاهی و تست و ارزیابی
(جزئیات بیشتر در پوستر)
🔻مدرس…
🌍 پنجمین رویداد کانکتتاک - فراتر از مرزها با موضوع «از تجربههای جهانی تا اثرگذاری در وطن»
🔸سخنرانان
▫️امین آریا
-دکتری مهندسی صنایع از دانشگاهMaryland
-راهبر فناوری در شرکتAretum
▫️محمد فورمن اصغرزاده
-دکتری ژئوفیزیک از دانشگاهOhio
-کارشناس ارشد ژئوفیزیک در شرکت نفتی شل و شرکت مهندسی جیکوبز
◽️حلیا دوطاقی
-دکتری حقوق از دانشگاهCarlton
-معاون سابق پروژه حقوق سیاسی و اقتصادی در دانشگاهYale
🔹پنل تخصصی
◽️ پارسا زهرها…
🟡 انجمن علمی دانشجویی بیوتکنولوژی دانشگاه تهران برگزار میکند:
🧬 مینی سمینار دانشکده بیوتکنولوژی 🧬
📔 تحولات بیوتکنولوژی گیاهی در عصر هوش مصنوعی: از رمزگشایی ژنوم تا مهندسی هوشمند صفات
💻 Advancements in Plant Biotechnology in the AI Era: From Genome Decoding to Smart Trait Engineering
👨💼سخنران: جناب آقای دکتر محمدمهدی عرب
✔️دکتری بیوتکنولوژی و ژنتیک مولکولی
✔️ استادیار دانشکده بیوتکنولوژی
🗓 زمان: دوشنبه ۲۴ آذر…
🟡 انجمن علمی بیوتکنولوژی دانشگاه تهران برگزار میکند:
🔻کارگاه آموزشی همراه با فعالیت عملی
«پژوهش مسئولانه؛ اخلاق علمی در دوران دیجیتال»
مباحث:
- سرقت علمی، دادهسازی و دستکاری دادهها
- سوءرفتار در نویسندگی و واگذاری همتا
- چالشهای نوظهور در استفاده از مدلهای زبانی بزرگ
- تخلف در شکلها و نمودارها
- تعارض منافع
- انتشار و مالکیت فکری (مقاله و پتنت)
- کار با نمونههای انسانی و زیستی
- اصول کار با حیوانات آزمایشگا…
🤣57🤩11❤2❤🔥2👌2🔥1
Showing the 12 most recent of 19 posts we hold for @ut_biotech. 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 — 172,166 of 1,160,990entries 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 6 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن بیوتکنولوژی دانشگاه تهران” (@ut_biotech), 6,276 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ut_biotech.
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.