3 measurements spanning 6 days, net +3. 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 41–44 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 22:36
44
+3
10 Aug 2026, 17:47
41
no change
6 Aug 2026, 15:50
41
first reading
Engagement
10 posts held, back to 27 July 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
978.1%
avg views ÷ 44 subscribers
Avg views / post
430
8 posts measured
Reaction rate
0.854%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 8 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 8 August 2026
Posts held
10 (27 July 2026 – 8 August 2026)
Views total
3,443
Reactions total
15
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 17:47 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
15 reactions across 5 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
15
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 10 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 27 July 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.
بطور خلاصه بگم واستون
نانو یعنی کار در مقیاس اتمی، تا بتونیم بیماریها رو دقیقتر تشخیص بدیم، مؤثرتر درمان کنیم و با عوارض کمتری مواجه بشیم. به همین خاطر خیلی از متخصصان معتقدن که نانو میتونه خیلی از مشکلاتی رو که تا حالا نتونستیم حل کنیم، برطرف کنه.😃
پ.ن : عکس بالا میتونه درک بهتری از مطالب بالا بهتون بده
📲 https://t.me/NanoStar_community
حالا چرا نانو توی پزشکی انقلابه⁉️
این ویژگیهای خاص در مقیاس نانو، درِ یک دنیای تازه رو به روی پزشکی و داروسازی باز کرده. به چند دلیل مهم👇🏻
1️⃣دارورسانی هدفمند💊 (Drug Delivery)
با نانوحاملها، دیگه دارو بدون هدف در بدن پخش نمیشه و عوارض جانبی نمیده. نانوذرات مثل ماشینهای هوشمند عمل میکنن که دقیقاً دارو رو به سلول بیمار میرسونن و به سلولهای سالم آسیبی نمیزنن. این یعنی درمان مؤثرتر با عوارض کمتر
2️⃣تشخیص زود…
شاید برای اعضای جدید سوال شده باشه که نانو یعنی چی؟ یه تعریف خیلی ساده
نانو یعنی یک میلیاردم متر❗️برای اینکه بهتر متوجه بشید، یه نگاه به این مقایسهها بندازید👇🏻
· قطر یک موی انسان تقریباً ۸۰,۰۰۰ نانومتر است
· یک نانومتر تقریباً برابر با ده برابر قطر یک اتم هیدروژن است
وقتی میگوییم فناوری نانو، یعنی کار با مواد و ساختارهایی که اندازهشان بین ۱ تا ۱۰۰ نانومتر است. در این مقیاس خیلی خیلی کوچک، قوانین معمولی فیزیک و …
📣 📣 پانزدهمین مسابقه ملی فناوری نانو
🏆 بزرگترین رقابت علمی با موضوع علم وفناوری و با هدف آموزش، رقابت و کسب و کار سال۱۴۰۵ در سه مرحله توسط بنیاد آموزش فناوری نانو و با همکاری بنیاد ملی نخبگان برگزار میشود.
🔍 مزایای شرکت :
✅ کسب امتیاز بنیاد ملی نخبگان
💸بیش از ۳ میلیارد ریال گرنت و جوایز نقدی
🧠 عضویت در شبکه مدرسان فناوری نانو
📖 دسترسی رایگان به منابع آموزشی گسترده
💡 ارتقای مهارتها و فرصتهای شغل
علاقه مندا…
با افتخار اعضای تیم انجمن علمی نانو استار دانشگاه علوم پزشکی جندیشاپور اهواز را معرفی میکنیم.
هدف ما ایجاد فضایی پویا برای یادگیری، پژوهش و آشنایی بیشتر دانشجویان با دنیای شگفتانگیز نانوفناوری و کاربردهای آن در علوم پزشکی است. در کنار هم تلاش میکنیم با برگزاری کارگاههای آموزشی، وبینارها، نشستهای علمی، مسابقات، بازدیدهای علمی، معرفی فرصتهای پژوهشی و انتشار محتوای آموزشی، گامی مؤثر در ارتقای دانش و مهارت دانشجو…
⭐️در نانو استار چه چیزهایی خواهید دید؟
⚕️نانو استار فقط یک کانال اطلاعرسانی نیست.
با محتوای علمی و کاربردی،
محلی برای یادگیری و آشنایی با دنیای نانوفناوری ایجاد میکنیم. اگه به فناوری نوین، پژوهش و علوم پزشکی علاقهمندید همراه ما باشید.
🆔️ @Nanostar_community
🔬 آغاز مسیر نوآوری با انجمن نانو استار ✨
با افتخار انجمن نانو استار دانشگاه علوم پزشکی جندیشاپور فعالیت خود را آغاز میکند.
🔅هدف ما ایجاد فضایی پویا برای علاقهمندان به فناوری نانو، علوم نوین و پژوهش است؛ جایی برای یادگیری، تبادل ایده، برگزاری کارگاهها، معرفی فرصتهای علمی و همراهی در مسیر رشد و نوآوری.
🔅اگر به دنیای نانو، تحقیقات علمی و فناوریهای آینده علاقهمند هستید، از همین امروز همراه ما باشید.
📌 منتظر برن…
❗️❗️آخرین مهلت ثبت نام ❗️❗️
📝نانو مواد با عملکرد آنریمی
👩🏫مدرس :جناب آقای دکتر سجاد بابائی (دکتری نانو بیوتکنولوژی)
🗓تاریخ : ۲۵ مرداد ۱۴۰۵
📌مکان: اسکای روم
⏰ساعت :۱۸ الی ۲۰
✅لینک شرکت در ۲۵ مراد ماه در کانال وبینار و کارگاه های آنلاین دانشگاه های برتر قرار می گیرد
❗️سر فصل ها
۱-نانوزیم ها چیست
۲-مناسب بودن و ضرورت نانوزیم ها
۳ـ مکانیسم های نانوزیم ها
۴ـ تفاوت نانوزیم ها با آنزیم ها
۵ـ کاربردهای زیست پزشکی نان…
Showing the 10 most recent of 10 posts we hold for @NanoStar_community. 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 — 162,783 of 1,481,243entries 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 2 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 علمی نانو استار علوم پزشکی اهواز” (@NanoStar_community), 44 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/NanoStar_community.
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.