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 234–236 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 02:46
235
no change
6 Aug 2026, 02:51
235
first reading
Engagement
20 posts held, back to 13 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
314.9%
avg views ÷ 235 subscribers
Avg views / post
740
1 post measured
Reaction rate
0.541%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 26 July 2026
Posts held
20 (13 December 2025 – 26 July 2026)
Views total
740
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 02:46 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
Photos
47
Videos
5
Links
36
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
26 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
13
50.0%
👍
7
26.9%
😁
3
11.5%
👎
2
7.69%
😱
1
3.85%
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 10 of the 20 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 26reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 13 December 2025 to 26 July 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.
✨انجمن میکروبشناسی دانشگاه شیراز برگزار میکند:
🔸وبینار آنلاین افقهای نوین پژوهشی در حوزه باکتریوفاژها و درمانهای جایگزین
👨🏻⚕ دکتر محمدهاشم یوسفی
• عضو هیئت علمی بخش بهداشت مواد غذایی دانشکده دامپزشکی دانشگاه شیراز
◀️ محورها:
• باکتریوفاژها؛ از کشف تا تنوع زیستی
• روشهای آزمایشگاهی و ابزارهای پیشرفته
• فاژتراپی؛ افقهای نوین در دامپزشکی و درمان
• بیوکنترل و ایمنی زیستی در زنجیره غذایی
• چالشهای تجاریسازی و …
انجمن علمی AI و IoT دانشگاه شیراز و انجمن زیست شناسی دانشگاه شیراز با همکاری دیگر انجمن ها برگزار میکند:
🧪 دوره جامع آموزشی GraphPad Prism 📊
👨🏫 مدرس :
دکتر محمدباقر شاهسونی
• فارغالتحصیل رشته زیستشناسی سلولی و مولکولی دانشگاه شیراز
• پژوهشگر پسادکتری مرکز تحقیقات بیوشیمی و بیوفیزیک (IBB) دانشگاه تهران
🗓️ زمان برگزاری:
دوشنبه ۷ و ۸ و ۹ مرداد
🕕 ساعت: ۱۸:۰۰
📍 محل برگزاری:
آنلاین
http://vroom.shirazu.ac.ir/elm…
🔸 دانشمندان با استفاده از تکنیک ویرایش ژن CRISPR، موفق به حذف ویروس HIV از سلولهای ایمنی انسان شدهاند! پیشرفتی که امید تازهای برای پایان دادن به این بیماری ایجاد کرده است...
💥 این یک دستاورد بزرگ است زیرا داروهای فعلی فقط تکثیر ویروس را متوقف میکنند و نمیتوانند آن را از بدن پاک کنند.
◀️ امروزه فناوری CRISPR/Cas9 بهعنوان یکی از نوآورانهترین ابزارهای ویرایش ژنوم، امیدهای تازهای را برای مقابله با این چالش ایجا…
✨انجمن میکروبشناسی دانشگاه شیراز برگزار میکند:
🔸کارگاه آنلاین فناوری CRISPR/Cas9:
از شناخت سیستم تا طراحی sgRNA و ویرایش ژنوم
👨🏻⚕ مدرس: دکتر علیرضا جلیلی
• دانشجوی دکتری-دستیاری بهداشت و بیماری آبزیان دانشگاه شیراز
◀️ محورها:
• تاریخچه، اهمیت و کابردهای فناوری CRISPR
• مبانی، اجزا و طبقهبندی سیستمهای CRISPR
• ساختار، عملکرد و مکانیسم مولکولی سیستمهای CRISPR
• مسیرهای ترمیم DNA سلولی و کاربرد آنها در فناوری …
✨انجمن میکروبشناسی دانشگاه شیراز با همکاری وت آوا تقدیم میکند:
در دومین اپیزود میپردازیم به
• پروبیوتیکها: سربازان نامرئی بدن
ما را در تلگرام و اینستاگرام دنبال کنید:
🆔 @microbiome_shirazu
🆔 @vet_avaa
✨ انجمن میکروبشناسی دانشگاه شیراز برگزار میکند:
🔸 از توالی تا درخت فیلوژنتیک:
آموزش آفلاین تحلیل و مصورسازی فیلوژنتیک با MEGA 7 و ITOL
👩🏻🔬 مدرس: هانیه ترابی
• دانشجوی دکتری تخصصی باکتریشناسی دانشگاه شیراز
◀️ محورها:
• مبانی فیلوژنتیک و آمادهسازی دادهها
• همترازی چندگانه توالیها و انتخاب مدل تکاملی
• ساخت و ارزیابی درخت فیلوژنتیک در MEGA7
• مصورسازی و حاشیهنویسی درخت در ITOL
📌 دسترسی به محتوای آموزشی: از …
✨ انجمن میکروبشناسی دانشگاه شیراز برگزار میکند:
🔸 کارگاه تئوری و عملی از هالهی عدم رشد تا غلظت کشندگی
👩🏻🔬 مدرسین دوره: زهرا قلیزاده فرشی، زهرا رضائی
• دانشجوی دکتری تخصصی باکتریشناسی دانشگاه شیراز
◀️ محورها:
• آشنایی با انواع آنتیبیوتیکها
• معرفی و انجام تست آنتیبیوگرام
• معرفی و انجام تستهای MIC و MBC
• تفسیر نتایج
🗓 تاریخ برگزاری کارگاه تئوری در بستر مجازی:
6 تیر ماه 1404، ساعت 19-17
🗓 تاریخ برگزاری ک…
✨ انجمن میکروبشناسی دانشگاه شیراز برگزار میکند:
🔸 کارگاه آنلاین آموزش استخراج DNA و بررسی کیفیت آن
👩🏻🔬 مدرس: زهرا رضائی
• دانشجوی دکتری تخصصی باکتریشناسی دانشگاه شیراز
◀️ محورها:
• استخراج DNA باکتریهای گرم مثبت با روش TENT
• استخراج DNA باکتریهای گرم منفی با روش boiling
• استخراج DNA با روش فنول-کلروفرم
• استخراج DNA با کیت
• بررسی کیفیت DNA استخراج شده به روش الکتروفورز ژل آگارز
• بررسی کیفیت DNA استخراج ش…
❤1
Signed 𝓩𝓐𝓗𝓡𝓐
Showing the 12 most recent of 20 posts we hold for @microbiome_shirazu. 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 — 51,655 of 1,549,376entries 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 5 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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن میکروبشناسی دانشگاه شیراز” (@microbiome_shirazu), 235 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/microbiome_shirazu.
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.
