4 measurements spanning 4 days, net +1. 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 1,503–1,505 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 02:51
1,505
+2
7 Aug 2026, 16:11
1,503
-1
6 Aug 2026, 23:30
1,504
no change
6 Aug 2026, 23:18
1,504
first reading
Engagement
20 posts held, back to 18 June 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
42.2%
avg views ÷ 1,505 subscribers
Avg views / post
635
9 posts measured
Reaction rate
1.35%
reactions ÷ views · ER floor
Posts in window
9
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 6 August 2026
Posts held
20 (18 June 2026 – 6 August 2026)
Views total
5,713
Reactions total
77
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:12 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
186 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 47.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
88
47.3%
❤
57
30.6%
💯
18
9.68%
🙏
13
6.99%
😢
8
4.30%
🔥
2
1.08%
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 20 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 186reactions 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 18 June 2026 to 6 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.
👨🏻🎓 آیا نگارش مقالات مروری برای دانش جویان و پژوهشگران جوان اهمیت دارد؟
نگارش مقالات مروری توسط دانشجویان و پژوهشگران جوان، همواره یکی از موضوعات چالشبرانگیز در فضای دانشگاهی بوده و دیدگاههای متفاوتی را در میان پژوهشگران و اعضای هیئت علمی برانگیخته است.
با این حال، در شرایط کنونی، انجام مطالعات مروری بهطور کلی و نگارش مقالات مروری بهطور خاص، از چند جنبه اهمیت ویژهای دارد:
۱. همسویی با نظام ارزیابی دانشگاهی
بودج…
🩹 آینده درمان زخم با سرعت در حال تحول است.
نوآوریهایی مانند پوستهای مهندسیشده، پانسمانهای هوشمند و درمانهای بازساختی در حال ایجاد تحول اساسی در درمان زخمها هستند و روند ترمیم را سریعتر و مؤثرتر از گذشته میکنند.
🔹 مهمترین اهداف این فناوریها در ترمیم زخم شامل:
✅ تسریع ترمیم و بازسازی بافت
✅ کاهش خطر عفونت
✅ بهبود نتایج درمانی بیماران
✅ کاهش هزینههای بلندمدت مراقبتهای سلامت
با افزایش شیوع زخمهای مزمن، دیابت…
🔴 چالشهای سلولدرمانی
سلولدرمانی یکی از پیشرفتهترین رویکردهای درمانی در پزشکی امروز و آینده را شکل میدهد؛ با این حال، چالشهای مهمی در این مسیر وجود دارد.
چالش اول: ضعف در پیشبینی دقیق رفتار سلولها در محیط درونتنی
سلولها، برخلاف بسیاری از داروهای دیگر، ساختاری بسیار پیچیده دارند و به دلیل دارا بودن هسته، بهصورت هوشمند عمل میکنند. این عملکرد هوشمند گاهی به ضرر هدف درمانی است؛ زیرا سلول خود (سلول بر اساس ش…
این پست راهنمای بسیاری از اساتید دانشگاه، پژوهشگران و دانشجویان در خصوص نحوه مواجهه و بهره مندی صحیح از مزایای AI هست که نکات مهمی را متذکر شده است. پست از کانال irevidence بازنشر شده است.
▫️دوازده نکته برای آموزش مهارتهای پژوهشی در عصر هوش مصنوعیِ عاملمحور: راهنمایی برای مدرسان حرفههای سلامت
مقاله زیر در 7 جولای 2026 در مجله Medical Teacher منتشر شده است:
Twelve tips for teaching research skills in the age of …
AI آموزشِ پژوهش را منسوخ نمیکند، بلکه مهارتهای موردنیاز آن را تغییر میدهد. بنابراین، برنامههای آموزشی باید بهجای ممنوعیت AI، برای استفاده مسئولانه از آن بازطراحی شوند. مهمترین شایستگی پژوهشگر در عصر AI، ارزیابی نقادانه، راستیآزمایی و پذیرش مسئولیت نتایجی است که با AI تولید میشوند.
#AI
#Research
#tips
🆔 @irevidence
رؤیافروشی، سودآورترین تجارتِ جهانِ سوم است.
در این معامله، خریدار گمان میکند رؤیا را رایگان خریده است؛
غافل از آنکه فروشنده، بهایش را از عمر او میستاند و گاه از آیندهی یک ملت.
تلختر آنکه اکثر رؤیافروشان، نان به نرخ روز میخورند؛ اما کالایی که عرضه میکنند، همیشه یکی است: رؤیا
ماتریس آیزنهاور، راهنمایی برای افرادی که در برنامه ریزی و اولویت بندی امور روزمره مشکل دارند.
🆔 با كانال سل_هاب همراه باشید:
https://t.me/CellMedHub
🛜 لينك كانال:
https://t.me/CellMedHub
#هماتولوژی
#معرفی_کتاب
✅کتاب ارزشمند هماتولوژی ویلیام : سلولهای قرمز و بیماریهای آن
Williams Hematology: The Red Cell and Its Diseases - 2022
🆔 با كانال سل_هاب همراه باشید:
https://t.me/CellMedHub
🛜 لينك كانال:
https://t.me/CellMedHub
فیبروبلاستها در ترمیم زخم: نقش و مفهوم «حافظه سلولی»
فیبروبلاستها از مهمترین سلولهای مؤثر در فرآیند ترمیم زخم هستند و در مراحل مختلف این فرآیند نقش اساسی ایفا میکنند. این سلولها پس از دریافت سیگنالهای ناشی از آسیب بافتی، به محل زخم مهاجرت کرده و تکثیر میشوند. سپس با سنتز و بازآرایی ماتریکس خارجسلولی (Extracellular Matrix; ECM)، بهویژه کلاژن، فیبرونکتین و سایر پروتئینهای ساختمانی، بستر لازم را برای تشکیل ب…
☑ سقوط آزاد رتبه علمی کشور
چرا دانشگاههای ایران از رقبای منطقهای جا ماندند؟
انتشار نتایج جدیدترین رتبهبندی جهانی کیو اس (QS) در سال ۲۰۲۷ زنگ خطری جدی و بیسابقه را برای ساختار آموزش عالی و مدیریت کلان علمی در ایران بهصدا درآورده است. دادههای آماری این گزارش بینالمللی نشان میدهد که بدون استثنا، تمامی دانشگاههای ایرانی حاضر در این رتبهبندی با افت فاحش و ریزش جایگاه مواجه شدهاند؛ پدیدهای ساختاری که در تلاقی…
👤 توجه انسان و ارزش آن
در روزگاری زندگی میکنیم که ارزشمندترین دارایی انسان، نه پول است و نه حتی زمان؛ بلکه توجه اوست. با این حال، بسیاری از ما هنوز از ارزش واقعی این سرمایه آگاه نیستیم.
توجه انسان همان سرمایهای است که قطرهقطره از میلیونها نفر جمع میشود و سرانجام دریایی از ثروت و قدرت برای مالکان رسانهها و پلتفرمهای جهانی میآفریند. سهم هر فرد شاید ناچیز به نظر برسد، اما هنگامی که میلیاردها دقیقه توجه در شبکهه…
❤10
Showing the 12 most recent of 20 posts we hold for @CellMedHub. 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 — 190,668 of 1,151,006entries 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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“سـل هـاب” (@CellMedHub), 1,505 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/CellMedHub.
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.