5 measurements spanning 6 days, net -8. 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 5,872–5,883 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 12:07
5,873
-7
10 Aug 2026, 05:35
5,880
-2
7 Aug 2026, 14:00
5,882
+1
7 Aug 2026, 01:00
5,881
no change
7 Aug 2026, 00:48
5,881
first reading
Engagement
23 posts held, back to 29 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
8.05%
avg views ÷ 5,873 subscribers
Avg views / post
473
23 posts measured
Reaction rate
2.10%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 11 August 2026
Posts held
23 (29 July 2026 – 11 August 2026)
Views total
10,875
Reactions total
228
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:46 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
Video runtime
1m 02s
Average length
10s
Measured directly from 6 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
228 reactions across 23 posts, in 10 distinct kinds. The most used accounts for 77.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
176
77.2%
🔥
17
7.46%
👏
9
3.95%
👍
8
3.51%
👌
4
1.75%
😱
4
1.75%
🤯
4
1.75%
🤩
3
1.32%
❤🔥
2
0.877%
🤔
1
0.439%
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 23 of the 23 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 228reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 29 July 2026 to 11 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.
🦠 کووید ۱۹، محرکی برای فعالشدن ویروسهای خاموش
🔬 مطالعه جدیدی نشان میدهد عفونت شدید با SARS-CoV-2 میتواند فعالیت برخی ویروسهای نهفته در بدن را افزایش دهد؛ پدیدهای که ممکن است با Long Covid ارتباط داشته باشد.
🧬 پژوهشگران پس از عفونت شدید، افزایش فعالیت برخی ویروسهای موجود در بدن، بهویژه آنلوویروسها را مشاهده کردند. این ویروسها معمولاً بدون ایجاد بیماری قابلتوجه، برای مدت طولانی در بدن باقی میمانند.
⚠️ نک…
👩🏻🔬👨🏻🔬اگر دانشجوی زیستشناسی در هر مقطعی، از کارشناسی تا ارشد و یا حتی دکترا هستید، به این سوالات پاسخ دهید.
🔻پاسخ به این سوالات میتواند شمارا در انتخاب هدف و مسیر موفقیت بسیار کمک کند.
💡فاژهای هوش مصنوعی، سلاح جدید برای مبارزه با میکروبها!
🧬 هوش مصنوعی Evo، به پژوهشگران این امکان را داد تا صدها ژنوم جدید برای باکتریوفاژها طراحی کنند؛ ویروسهایی که بهطور اختصاصی باکتریها را آلوده و نابود میکنند.
🦠 از میان ۳۰۰ ژنوم طراحیشده و ساختهشده در آزمایشگاه، ۱۶ فاژ توانستند با موفقیت باکتری اشرشیا کلی (E. coli) را آلوده کنند. برخی از این فاژهای جدید حتی قادرند سویههایی را هدف قرار دهند که در برابر فا…
🦠آیا میکروبیوم میتواند به درمان HIV کمک کند؟
🧫 یک متابولیت میکروبی، هم سد روده را ترمیم کرد و هم اثر درمان ضدویروسی را افزایش داد.
🧬 در عفونت HIV (عامل ایدز)، آسیب به سد روده میتواند التهاب و اختلال در عملکرد سیستم ایمنی را تشدید کند. پژوهشگران اکنون دریافتند که متابولیت 10-HSA تولیدشده توسط Lactiplantibacillus plantarum میتواند به بازسازی این سد کمک کند.
🐁 در مدلهای حیوانی ترکیب 10-HSA با درمان ضدرتروویروسی ب…
🦟 پشت پرده قربانیان پشهها؛ پای میکروبیوم در میان است.
🏹 تا به حال برایتان پیش آمده که در یک جمع، فقط شما طعمه پشهها شوید؟ پژوهشگران میگویند پاسخ این سؤال تا حد زیادی به میکروبیوم پوست و گونهی پشه بستگی دارد.
🦠برخلاف تصور رایج، هر گونه پشه به ترکیب متفاوتی از بوی بدن انسان جذب میشود. به همین دلیل باکتریهای ساکن پوست با تغییر دادن ترکیب بوی بدن، در انتخاب میزبان توسط پشهها نقش دارند.
🔬پژوهشگران همچنین دریافتن…
📢 سمپوزیوم دو روزه جامع ایمونولوژی
🧬 بزرگترین رویداد ایمونولوژی کشور با حضور بیش از ۵۳ تن از برجستهترین اساتید این حوزه
👨🏫 دبیر علمی سمپوزیوم: پروفسور علیرضا رنجبر
💡 در این سمپوزیوم با حضور جمعی بسیار کثیر از برجستهترین اساتید ایمونولوژی کشور، تمامی جنبههای علمی این حوزه، از مباحث پایه تا کاربردها، گرایشها و نقش ایمونولوژی در حوزههای مختلف مورد بررسی قرار خواهد گرفت.
🔻از این لحاظ، این رویداد جامعترین سمپوز…
👶🏻 نقش میکروبیوم مایع منی در درمان ناباروری
‼️ ترکیب باکتریهای موجود در مایع منی میتواند در موفقیت بارداری و حتی خطر سقط جنین نقش داشته باشد.
👨👩👧👦 پژوهش جدیدی نشان میدهد عدم تعادل باکتریهای مایع منی(دیسبیوز) در آقایان، شانس تولد نوزاد زنده پس از درمانهای ناباروری مانند IVF را حدود ۲۸٪ کاهش میدهد.
🦠 دانشمندان معتقدند هنگام رابطه جنسی، علاوه بر سلولهای جنسی، میکروارگانیسمها را نیز بین زوجین جابهجا می…
📢 سمپوزیوم دو روزه جامع ایمونولوژی
🧬 بزرگترین رویداد ایمونولوژی کشور با حضور بیش از ۵۳ تن از برجستهترین اساتید این حوزه
👨🏫 دبیر علمی سمپوزیوم: پروفسور علیرضا رنجبر
💡 در این سمپوزیوم با حضور جمعی بسیار کثیر از برجستهترین اساتید ایمونولوژی کشور، تمامی جنبههای علمی این حوزه، از مباحث پایه تا کاربردها، گرایشها و نقش ایمونولوژی در حوزههای مختلف مورد بررسی قرار خواهد گرفت.
🔻از این لحاظ، این رویداد جامعترین سمپوز…
🚨 حیوانات خانگی، تهدیدی برای زندگی انسانها؟
🐶🐱 در پژوهشی جدید مشخص شد که سگها و گربهها ممکن است در انتقال باکتریهای مقاوم به آنتیبیوتیک به انسان نقش داشته باشند.
🔬 بررسی صدها نمونه از باکتری Acinetobacter baumannii نشان میدهد سویههای موجود در حیوانات خانگی شباهت ژنتیکی بسیار بالایی با پاتوژنهای عامل عفونتهای بیمارستانی در انسان دارند.
💊 برخی از این باکتریها حامل ژنهای مقاومت به آنتیبیوتیکهای قوی بودن…
⭕️ شروع بخش پایانی پنل گفتوگو
به همراهی پروفسور کاریکو و اساتید ارجمند
𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍
Community/ Instagram
╭─────•⊰𓐍⊱•──────╮
🦠@ir_micro_academy🧪
╰─────•⊰𓐍⊱•──────╯
📌 پایان سخنرانی پروفسور کاتالین کاریکو، برنده جایزه نوبل فیزیولوژی یا پزشکی ۲۰۲۳
𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍
Community/ Instagram
╭─────•⊰𓐍⊱•──────╮
🦠@ir_micro_academy🧪
╰─────•⊰𓐍⊱•──────╯
📖 معرفی نسخه فارسی زندگینامه پروفسور کاتالین کاریکو؛ روایتی از مسیر یک برنده نوبل.
𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍𓂃◌𓈒𓐍
Community/ Instagram
╭─────•⊰𓐍⊱•──────╮
🦠@ir_micro_academy🧪
╰─────•⊰𓐍⊱•──────╯
❤5
Signed 𝑬𝒊𝒍𝒆𝒆𝒏
Showing the 12 most recent of 23 posts we hold for @ir_micro_academy. 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 — 264,706 of 1,478,351entries 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 3 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“آکادمی میکروبشناسی ایران” (@ir_micro_academy), 5,873 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/ir_micro_academy.
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.