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Channel

Coenzyme R

@coenzymeR

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

4,535subscribers

-25 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001310322145
TypeChannel
Username@coenzymeR
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live23 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/coenzymeR

Growth

4,5354,5604,547.56 August 2026 — 4,560 subscribers6 August 2026 — 4,560 subscribers7 August 2026 — 4,558 subscribers10 August 2026 — 4,547 subscribers13 August 2026 — 4,544 subscribers16 August 2026 — 4,538 subscribers23 August 2026 — 4,535 subscribers6 August 202623 August 2026
7 measurements spanning 17 days, net -25. 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 4,531–4,564 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 10:254,535-3
16 Aug 2026, 21:144,538-6
13 Aug 2026, 06:554,544-3
10 Aug 2026, 03:014,547-11
7 Aug 2026, 08:584,558-2
6 Aug 2026, 17:164,560no change
6 Aug 2026, 16:494,560first reading

Engagement

22 posts held, back to 14 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.18%
avg views ÷ 4,535 subscribers
Avg views / post
371
5 posts measured
Reaction rate
2.80%
reactions ÷ views · ER floor
Posts in window
5
of 22 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
WindowRolling 30 days · latest post in window 9 August 2026
Posts held22 (14 June 20269 August 2026)
Views total1,855
Reactions total52
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 07:00 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

245 reactions across 22 posts, in 6 distinct kinds. The most used accounts for 61.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15061.2%
👍7530.6%
👌93.67%
🔥62.45%
👏41.63%
🙏10.408%

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 22 of the 22 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 245reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 14 June 2026 to 9 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.

Recent posts

9 Aug 2026, 07:37 UTC175 views9 reactionsread 12 August 2026
File

📌 مثال هایی از مهم ترین و تاثیرگذارترین مقالات ریترکت شده در علم پزشکی

9

6 Aug 2026, 17:34 UTC313 views9 reactionsread 12 August 2026

🔴 چرا بعضی از مقالات علمی «Retract» می‌شوند؟ ⬅️ بعضی از مقالاتی که هزاران بار در پژوهش‌ها و حتی تصمیم‌های بالینی به آن‌ها استناد شده، می‌تواند سال‌ها بعد توسط همان ژورنال از اعتبار ساقط شوند❗️ ♻️ به این فرآیند Retraction یا «بازپس‌گیری مقاله» گفته می‌شود. 🔺 در واقع Retraction به این معنا نیست که مقاله از وب‌سایت ژورنال حذف شود؛ بلکه ژورنال به‌طور رسمی اعلام می‌کند که دیگر نباید به نتایج این پژوهش به‌عنوان شواهد قا

8👏1

2 Aug 2026, 09:12 UTC423 views10 reactionsread 12 August 2026

‍ 🔴معرفی AGREE II؛ ابزاری برای ارزیابی کیفیت گایدلاین‌های بالینی در پست قبل گفتیم که همه گایدلاین‌ها اعتبار یکسانی ندارند! اما سؤال مهم اینجاست: ⁉️ اگر دو گایدلاین درباره یک موضوع پزشکی وجود داشته باشد، از کجا بفهمیم کدام‌یک قابل اعتمادتر است؟ ⬅️ برای پاسخ به این سؤال، ابزاری استاندارد به نام AGREE II (Appraisal of Guidelines for Research & Evaluation II) طراحی شده است. 📊 ابزار AGREE II ابزاری استاندارد برای ارزی

5👍4👌1

30 Jul 2026, 13:47 UTC502 views11 reactionsread 12 August 2026

‍ 🔴 گایدلاین ها و مبنای تصمیم‌گیری بالینی پزشکان در #CoR_Cast قبل به این نکته اشاره کردیم که وجود مطالعات متعدد با نتایج متفاوت، بخشی طبیعی از فرایند تولید علم است. اما سؤال مهم‌تری مطرح می‌شود: ⁉️ اگر صدها مقاله، ده‌ها کارآزمایی بالینی و چندین مقاله متاآنالیز درباره یک موضوع وجود داشته باشد، پزشکان در نهایت به کدام شواهد می‌توانند اعتماد کنند؟ ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ

6👍5

28 Jul 2026, 08:30 UTC442 views13 reactionsread 12 August 2026
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🔴 وقتی شواهد علمی با یکدیگر هم‌نظر نیستند ⬅️ در CoR Cast این هفته، درباره تفاوت نتایج مطالعات، دلایل شکل‌گیری شواهد متناقض و چالش تفسیر یافته‌های علمی صحبت می‌کنیم. ━━━━━━━━━━━━━━ 🎙 #CoR_Cast ⚜️ @CoenzymeR ◽️ Research • Innovation

9👌4

26 Jul 2026, 08:35 UTC518 views14 reactionsread 12 August 2026
Photo

☑️ #اطلاع_رسانی 📎 اکسپت جدیدترین مقاله‌ی مجموعه کوآنزیم R زیر نظر هد منتور مجموعه دکتر عارف نژاد ، در ژورنال Health Science Reports نمایه در ISI با ایمپکت 2.9 و شاخص Q2 ❗️به زودی خبرهای بیشتری از چاپ و اکسپت مقالات شرکت کنندگان دوره های مقاله نویسی مجموعه کوآنزیم R را خواهید‌ شنید! ⚜️ @CoenzymeR

11👍3

22 Jul 2026, 16:10 UTC593 views11 reactionsread 12 August 2026

‍ 🔴 داوران بین‌المللی یک ایده را چگونه ارزیابی می‌کنند؟ ⬅️ بسیاری تصور می‌کنند داشتن یک ایده جدید، برای حضور در کنگره‌های بین‌المللی کافی است؛ اما در عمل، داوران تنها به «جدید بودن» ایده توجه نمی‌کنند! 💡 اگر قصد دارید ایده خود را در سطح بین‌المللی ارائه کنید، پیش از هر چیز این معیارها را بررسی کنید. ✅ مهم‌ترین ویژگی‌های ایده‌های قابل ارائه در رویدادهای بین‌المللی: 1⃣ نوآوری واقعی (Novelty) اولین سؤال داور این نیس

7👍4

20 Jul 2026, 17:57 UTC536 views12 reactionsread 12 August 2026
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🔴 پژوهش‌های High Impact؛ از ایده تا نوآوری ⬅️ در CoR Cast این هفته، از اهمیت شناسایی Research Gap و نقش آن در شکل‌گیری مقالات اثرگذار، اختراعات بین‌المللی و پژوهش‌هایی صحبت می‌کنیم که می‌توانند مرزهای دانش را جابه‌جا کنند. ━━━━━━━━━━━━━━ 🎙 #CoR_Cast ⚜️ @CoenzymeR ◽️ Research • Innovation

🔥63👍3

18 Jul 2026, 18:21 UTC615 views12 reactionsread 12 August 2026

📌 راز مقالات High Impact ❓ چرا بعضی مقالات هزاران بار مورد استناد قرار می‌گیرند، اما برخی دیگر حتی دیده نمی‌شوند؟ پژوهش‌های High Impact معمولاً چند ویژگی مشترک دارند: 🔹 سؤال پژوهشی مهم و حل‌نشده 🔹 ایده جدید (Novelty) 🔹 طراحی مطالعه قوی 🔹 روش‌شناسی دقیق 🔹 نتایج قابل اعتماد و قابل تکرار 🔹 ارتباط مستقیم با نیازهای علمی یا بالینی ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ ▫️ سؤال پژوهشی مهم هر پژوهش

8👍2👏2

16 Jul 2026, 14:07 UTC589 views13 reactionsread 12 August 2026
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🔴 اگزوزوم‌ها؛ پیام‌رسان‌های سلولی و نقش آن‌ها در آینده پزشکی بازساختی ⬅️ در این اپیزود به بررسی نقش اگزوزوم‌ها در ارتباطات بین‌سلولی، پزشکی بازساختی و چشم‌انداز درمان‌های نوین مبتنی بر سلول می‌پردازیم. ━━━━━━━━━━━━━━ 🎙 #CoR_Cast ⚜️ @CoenzymeR ◽️ Research • Innovation

10👍3

13 Jul 2026, 17:26 UTC697 views10 reactionsread 12 August 2026

#تحلیل_مقاله 🔵 Promising Anti-Cancer Effects and Mechanisms of Baicalin and Baicalein in the Treatment of Oral Cancer: A Comprehensive Review اثرات ضدسرطانی و مکانیسم‌های بایکالین و بایکالئین در درمان سرطان دهان 🏆 منتشر شده در ژورنال Oral Diseases (ژورنال معتبر بین‌المللی در حوزه بیماری‌های دهان، فک و صورت) 📆 تاریخ انتشار: May 2026 ⁉️ سوال اصلی پژوهش: سرطان سلول سنگفرشی دهان (OSCC) یکی از شایع‌ترین بدخیمی‌های ناح

10

10 Jul 2026, 17:25 UTC640 views11 reactionsread 12 August 2026
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📎جدول پیوست: ✔️چک‌لیست کاربردی جهت ارزیابی عنوان مقالات ISI ⚜ @CoenzymeR

8👌3

Showing the 12 most recent of 22 posts we hold for @coenzymeR. 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 — 818,446 of 1,603,376entries 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 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.

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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“Coenzyme R” (@coenzymeR), 4,535 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/coenzymeR.

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.