4 measurements spanning 14 days, net +26. 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 969–1,003 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 01:35
999
+16
14 Aug 2026, 14:16
983
+10
8 Aug 2026, 00:46
973
no change
7 Aug 2026, 18:24
973
first reading
Engagement
20 posts held, back to 10 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
25.6%
avg views ÷ 999 subscribers
Avg views / post
256
10 posts measured
Reaction rate
2.38%
reactions ÷ views · ER floor
Posts in window
10
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 5 August 2026
Posts held
20 (10 July 2026 – 5 August 2026)
Views total
2,558
Reactions total
61
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 00:46 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.
Reaction mix
133 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 82.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
110
82.7%
🔥
10
7.52%
👌
7
5.26%
👍
3
2.26%
🙏
3
2.26%
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 19 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 133reactions 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 10 July 2026 to 5 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.
🚨 بعد از استقبال فوقالعاده از اولین دوره آنلاین، حالا یک قدم حرفهایتر برمیداریم...
🧬 دوره تخصصی آنلاین MicroRNA & Bioinformatics
شروع یک تجربه جدید برای کسانی که میخواهند از مرز تئوری عبور کنند و وارد دنیای واقعی تحلیل دادههای زیستی شوند.
در این دوره یاد میگیری:
🔹 بیوژنز و نقش MicroRNA در تنظیم بیان ژن
🔹 پیشبینی ژنهای هدف و تحلیل مسیرهای مولکولی
🔹 کار با پایگاههای داده تخصصی و ابزارهای بیوانفورماتیک
فرقی…
کودکی با تأخیر تکامل، رفتارهای شبه اوتیسم، کاهش یا فقدان گفتار و هیپوتونی مراجعه کرده است. بررسی CMA حذف انتهای کروموزوم 22q13.3 شامل ژن SHANK3 را نشان میدهد. تشخیص چیست؟
Smith–Magenis syndrome19%
C. Pitt–Hopkins syndrome6%
DiGeorge syndrome31%
Phelan–McDermid syndrome44%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🚨 بالاخره انتظار تموم شد...
اگر از شیراز، اصفهان، مشهد، تبریز، اهواز یا هر شهر دیگهای همیشه بهمون پیام میدادی که:
«کاش کارگاههای اکسیرژن آنلاین برگزار میشد...»
این دقیقاً همون فرصتیه که منتظرش بودی. 🌍✨
🧬 اولین کارگاه آنلاین CRISPR اکسیرژن
📅 24 و23 مرداد
💰 هزینه ثبتنام: ۲,۰۰۰,۰۰۰ تومان
دیگه فاصله مانع یادگیری نیست؛
از هر جای ایران میتونی در کنار اکسیرژن، مهارتهای روز ژنتیک و زیستفناوری رو یاد بگیری. 🧬
⏳…
#DNA #پزشکی_قانونی
🔬دی ان ای(#DNA)، این شاهکار بیوشیمیایی، انقلابی در سیستم قضایی ایجاد کرده و آن را به یکی از دقیقترین و تأثیرگذارترین ابزارهای شناسایی هویت تبدیل کرده است. اما این سلطه، حاصل تلفیقی از ویژگیهای منحصربهفرد زیستشناختی، پیشرفتهای فناورانه و تأثیرات عمیق اجتماعی-حقوقی است.
🧬 معجزهای درون سلولها: چرا #DNA بیننظیر است؟
دلیل قدرت بینظیر #DNA را باید در سه ویژگی کلیدی جستجو کرد:
· اثر انگشت ژنت…
🚨 فقط ۵ نفر ظرفیت باقی مانده!
اگر میخواهی کاریوتایپ و آنالیز کروموزوم را بهصورت کاملاً عملی یاد بگیری و رزومهات را برای ورود به آزمایشگاههای ژنتیک و مراکز تحقیقاتی تقویت کنی، این دوره را از دست نده.
🧬 کارگاه تخصصی و عملی کاریوتایپ و آنالیز کروموزوم
📅 ۱۴، ۱۵ و ۱۶ مرداد
در این دوره آموزش میبینی:
🔬 کشت سلول و کروموزوم
🔬 تهیه اسلاید و رنگآمیزی
🔬 مشاهده کروموزوم زیر میکروسکوپ
🔬 آنالیز و تفسیر کاریوتایپ
🎓 با حضور…
#ACTN3
🧬 آشنایی با #ژن_ACTN3؛ همون «ژن سرعت» معروف!
بهش میگن ژن سرعت یا ژن قدرت، و راستش بین محققان ورزشی حسابی سر و صدا کرده. این ژن یه پروتئین خاص میسازه به اسم α-اکتینین-۳ که فقط و فقط تو فیبرهای عضلانی تندانقباض (نوع دو) فعاله. یعنی همون فیبرهایی که موقع دو صد متر یا وزنهزدن، به کمکتون میان و انفجاری کار میکنن. 💥
🌍 نکته جالب: یه عالمه آدم این ژن رو ندارن، ولی سالمن!
حدود ۱۸ تا ۲۰ درصد از جمعیت کره زمین،…
در سال ۱۹۶۰، متخصص ژنتیک «کلاوس پاتو»، پیچیدهترین خطای تقسیم کروموزومی را کشف نمود؛ نوزادانی با تکاملنیافتگی مغز، شش انگشتی و شکافهای عمیق صورت! 😰🧬 علت؟ وجود یک کروموزوم اضافی در جفت ۱۳: #سندروم_پاتو (تریزومی ۱۳).
این اختلال با تریاد بالینی (سه علامت اصلی) شناخته میشود:
1️⃣ پلیداکتیلی: وجود انگشت اضافه در دست یا پا 🖐️
2️⃣ شکاف لب و کام: معمولاً عمیق و دوطرفه 👄
3️⃣ هولوپروزنسفالی: عدم تقسیم کامل مغز به دو نیمکره…
در سال ۱۹۶۰، دکتر جان ادواردز با نوزادی مواجه شد که ویژگیهای غیرمعمولش، یک معمای ژنتیکی را آشکار کرد؛
نوزادی با دستانی مشتشده، فکی کوچک و پاهایی با قوس گهوارهای... 👶🏻
با بررسی کاریوتایپ مشخص شد که علت این تغییرات، وجود یک کروموزوم اضافی در جفت ۱۸ است؛ اختلالی که امروزه با نام #سندروم_ادواردز (#تریزومی_۱۸) شناخته میشود. 🧬✨
🔍 نشانههای شاخص:
✋ دستان مشتشده با همپوشانی انگشتان
🦶 پاهای گهوارهای (Rocker-bottom fe…
به درخواست اساتید
جهت مشارکت در مقاله با عنوان :
Paradoxical Prognostic Impact of PDGFRA in Bladder Cancer: A Pan-Cancer Analysis Reveals Context-Dependent Functions in Tumor Progression and Immune Evasion
پیام دهید
@GeneScope
#آلزایمر #AQP4
🧠💤 خواب، آن چیزی نیست که فکر میکردیم!
تا حالا فکر میکردیم کیفیت خواب فقط روی خستگی روزانهمون تأثیر داره، اما پژوهشگران دانشگاه ادیت کووان (ECU) استرالیا تازه پرده از یه راز بزرگ برداشتن: خواب میتونه کلید طلایی تعدیل خطر ژنتیکی #آلزایمر باشه! 😲
🔬 این مطالعه که نتایجش در کنفرانس بینالمللی انجمن #آلزایمر ارائه شده، نگاه تازهای به تعامل پیچیده بین عادتهای خوابمون و ژن خاصی به اسم #AQP4 انداخته. ای…
🧬 #سندرم_کرای_دو_شات (Cri-du-Chat) یا #سندرم_فریاد_گربه
این اختلال ژنتیکی به دلیل حذف (Deletion) بخشی از بازوی کوتاه (p) کروموزوم شماره ۵ رخ میدهد. دلیل نامگذاری آن، صدای گریه نوزادان مبتلا است که به دلیل ناهنجاری در حنجره، شبیه به صدای گربه به نظر میرسد
📋 علائم و ویژگیهای بالینی اصلی:
🐱 صدای گریه متمایز: در دوران نوزادی که با رشد کاهش مییابد.
👶 میکروسفالی (Microcephaly): کوچک بودن سر نسبت به اندازه بدن.
👀 فاصله…
❤5👌1
Showing the 12 most recent of 20 posts we hold for @algoritme_genetics. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
کودکی با تأخیر تکامل، رفتارهای شبه اوتیسم، کاهش یا فقدان گفتار و هیپوتونی مراجعه کرده است. بررسی CMA حذف انتهای کروموزوم 22q13.3 شامل ژن SHANK3 را نشان میدهد. تشخیص چیست؟
Smith–Magenis syndrome19%
C. Pitt–Hopkins syndrome6%
DiGeorge syndrome31%
Phelan–McDermid syndrome44%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 10 July 2026 to 5 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 63,061 of 1,602,822entries 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 1 registered channel — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@algoritme_genetics named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@exiregene_lab named in 2 posts, 8 August 2026 – 9 August 2026
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“GeneScope” (@algoritme_genetics), 999 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/algoritme_genetics.
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.