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Channel

MediPeaks | مدیپیکس

@MediPeaks

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

207subscribers

-2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003203414894
TypeChannel
Username@MediPeaks
CreatedBetween 1 October 2025 and 7 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/MediPeaks

Growth

2072092086 August 2026 — 209 subscribers7 August 2026 — 209 subscribers15 August 2026 — 207 subscribers6 August 202615 August 2026
3 measurements spanning 8 days, net -2. 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 207–209 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:37207-2
7 Aug 2026, 03:46209no change
6 Aug 2026, 16:36209first reading

Engagement

18 posts held, back to 7 December 2025the 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
37.0%
avg views ÷ 207 subscribers
Avg views / post
76.7
3 posts measured
Reaction rate
5.22%
reactions ÷ views · ER floor
Posts in window
4
of 18 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 4 August 2026
Posts held18 (7 December 20254 August 2026)
Views total230
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 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.

Reaction mix

72 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 70.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5170.8%
❤‍🔥68.33%
🔥45.56%
💯34.17%
👌22.78%
👍22.78%
🙏22.78%
🥰22.78%

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 16 of the 18 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 72reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 7 December 2025 to 4 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

4 Aug 2026, 07:05 UTC47 views3 reactionsread 7 August 2026

یکی از بهترین و معروف‌ترین منابع برای تقویت لغات، به‌خصوص برای آزمون‌هایی مثل تافل، کتاب ۱۲۱۲ هست. این کتاب مجموعه‌ای از واژگان ضروری و پرکاربرد رو جمع کرده که خیلی‌ها باهاش نتیجه گرفتن. ولی خوندن کتاب به‌تنهایی کافی نیست… کلید اصلی، یادگیری هوشمند و ماندگار با نرم‌افزار Anki هست. با Anki می‌تونی: - فلش‌کارت‌های کتاب ۱۲۱۲ رو با تکرار فاصله‌دار (Spaced Repetition) مرور کنی - واژه‌ها رو از حافظه کوتاه‌مدت به بلندمدت

2👍1

2 Aug 2026, 17:36 UTC64 views5 reactionsread 7 August 2026

یکی از بزرگ‌ترین اشتباهاتی که بچه‌های پزشکی و پژوهشگرها توی لینکدین انجام میدن اینه که فقط میگن چی بلدن؛ درحالی‌که هیچ‌کس دنبال مهارت شما نیست، همه دنبال نتیجه‌ای هستن که با اون مهارت ساختید. مثلاً می‌نویسن: ❌ «Systematic Review بلدم.» ❌ «مقاله‌نویسی علمی انجام میدم.» ❌ «با SPSS یا R کار می‌کنم.» ❌ «Data Analysis بلدم.» خب که چی؟ استاد، PI یا شرکتی که می‌خواد شما رو برای یک ریسرچ پوزیشن، RA یا حتی شغل استخدام

3🔥2

17 Jul 2026, 12:48 UTC119 views4 reactionsread 7 August 2026

اگر می‌خواید کارتون دیده بشه، citation بگیرید، همکاری بین‌المللی داشته باشید و فرصت‌های شغلی و پژوهشی بهتون پیشنهاد بشه، باید پروفایل‌های علمی‌تون رو قوی و به‌روز نگه دارید. مهم‌ترین پروفایل‌هایی که هر Researcher باید داشته باشه به طور خلاصه: ۱. ORCID شناسنامهٔ دیجیتال شما! یک ID منحصربه‌فرد که تمام مقالات، کتاب‌ها و فعالیت‌هاتون رو به نامتون ثبت می‌کنه. مزیت: جلوگیری از سردرگمی نام، افزایش اعتبار، اتصال خودکار به

4

2 Jun 2026, 14:27 UTC122 views1 reactionsread 7 August 2026
Forwarded from @Scientometric

از مهمترین ‌پیشرفت های درمانی برای سرطان پانکراس در سال های اخیر: عملکرد موفقیت‌آمیز داروی جدید Daraxonrasib مطالعه کارآزمایی بالینی فاز ۳ منتشرشده در مجله NEJM نشان داده است که داروی Daraxonrasib در بیماران مبتلا به سرطان پانکراس متاستاتیک (mPDAC) که قبلا تحت درمان قرار گرفته بوده‌اند، توانسته تا در مقایسه با شیمی درمانی استاندارد، بقای کلی بیماران را بیش از دو برابر کند. در این مطالعه، میانه بقای بیماران از ۶/۶

❤‍🔥1

2 Jun 2026, 14:27 UTC157 viewsread 7 August 2026
Forwarded from @ScientometricPhoto

در ارتباط با پست قبلی کانال: تشویق ایستاده حاضرین در کنگره ASCO وقتی نتایج موفقیت آمیز مطالعه RASolute 302 برای داروی Daraxonrasib در درمان سرطان متاستاتیک پانکراس اعلام می شود را در ویدئوهای این پست می‌بینید. (شاید یک لحظه تاریخی و نقطه عطف در درمان این سرطان) تصویر هم نمودار KM برای بقای کلی از مقاله این مطالعه را نشان می‌دهد. نکته مهم‌تر این است که این دارو RAS را هدف قرار می‌دهد. یکی از شایع‌ترین جهش‌های سرطان‌ز

31 May 2026, 18:01 UTC133 views4 reactionsread 7 August 2026

🚫 هر وقت خواستی تسلیم شی، بخون: مسیر موفقیت پر از: • روزهایی که انگیزه نداری • لحظه‌هایی که همه چیز بی‌معنی به نظر میرسه • آدم‌هایی که میگن "نمیشه" اما یه چیزی هست که باید یادت بمونه: 💪 کسانی که به هدف میرسن، متوقف نمیشن. فقط یه قدم جلو میرن، بعد یه قدم دیگه... تفاوت بین موفقیت و شکست: نه تواناییه، نه استعداده. فقط و فقط: انجام دادن کاریه که تو رو در مسیر نگه میداره. • امروز سختی کشیدی؟ فردا هم باش • خسته شدی؟

4

7 Jan 2026, 08:23 UTC363 views4 reactionsread 7 August 2026

📚 نکات طلایی برای خواندن موثر مقالات علمی 📚 خوندن مقالات علمی گاهی مثل حل کردن پازل به نظر می‌رسه، پر از اصطلاحات پیچیده و جزئیات زیاد. مقاله خوندن یک هنره که با تمرین کردن به دست میاد و اگر یادش نگیریم به خاطر پیچیدگی خیلی زمان از دست میدیم.😕 بیشتر ریسرچرها موفق از روش "سه مرحله‌ای" یا "غیرخطی" استفاده می‌کنن، نه اینکه از اول تا آخر خطی بخونن!😇 اینجا یک راهنمای عملی براتون آوردم (بر اساس تجربیات پژوهشگران و منابع

3🙏1

2 Jan 2026, 18:52 UTC205 views3 reactionsread 7 August 2026

امشب می‌خوایم یکی از بهترین ابزارهای رایگان برای تحلیل داده‌های علمی رو معرفی کنیم: نرم‌افزار VOSviewer 📊✨ VOSviewer یک نرم‌افزار قدرتمند و رایگان هست که برای ساخت و نمایش شبکه‌های کتاب‌سنجی (bibliometric networks) طراحی شده. با این ابزار می‌تونید: - نقشه‌های همکاری نویسندگان (co-authorship) - هم‌استنادی (co-citation) - هم‌رخدادی کلمات کلیدی (keyword co-occurrence) - و شبکه‌های استنادی رو به زیبایی ببینید. این نر

2👌1

27 Dec 2025, 12:41 UTC247 views6 reactionsread 7 August 2026

🔴🔴 اگر بخوایم با استاد دانشگاه برای همکاری تحقیقاتی ارتباط بگیریم و متقاعدش کنیم چی کار باید انجام بدیم؟ 1. تحقیق کنید: مقالات و پروژه‌های اخیر استاد رو بخونید و بهشون اشاره کنید. 2. معرفی گرم بهتره: از دانشجو/همکار بخواید معرفیتون کنه. ایمیل سرد هم خوبه، اما شخصی‌سازی‌شده باشه. 3. ایمیل حرفه‌ای و کوتاه: - موضوع واضح - معرفی خودتون + علایق - چرا این استاد؟ (ارتباط با کارهای ایشون) - مهارت‌ها و ارزشی ک

❤‍🔥32🔥1

24 Dec 2025, 04:04 UTC648 views4 reactionsread 7 August 2026

📢 ابزار ASReview: انقلاب در بررسی‌های سیستماتیک مقالات! 📚🔍 اگر در حال انجام یک مرور سیستماتیک (systematic review) یا متاآنالیز باشین، حتماً با چالش غربالگری کلی مقاله روبرو میشین 😫 خوندن تایتل و ابسترکت همه مقالات و فک کردن به این موضوع که ایا این مقاله واقعا اینکلود میشه یا نه خیلی خسته‌کننده هست! اینجاست که ASReview وارد میشه! ASReview یک نرم افزار رایگان و اپن سورس هست که با استفاده از ماشین لرنینگ یک فرایند ا

4

21 Dec 2025, 04:19 UTC280 views5 reactionsread 7 August 2026

📢 آیا شناسه ORCID رو میشناسید؟ ORCID (Open Researcher and Contributor ID) یک کد ۱۶ رقمی هست که به عنوان یک شناسنامه الکترونیک برای ریسرچر ها به کار میره😎 چه کمکی میکنه؟🧐 - آثار علمی (مقالات، پروژه‌ها، داوری‌ها) به درستی به نام خود ریسرچر ثبت میشه و از اشتباهات ناشی از تشابه اسمی جلوگیری میکنه. - پروفایل پژوهشی‌تون رو در پایگاه‌های معتبر مثل Scopus، PubMed، Springer و مجلات بین‌المللی یکپارچه میکنه. - فرآیند سابمی

5

Showing the 12 most recent of 18 posts we hold for @MediPeaks. 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 — 617,650 of 1,480,688entries 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“MediPeaks | مدیپیکس” (@MediPeaks), 207 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/MediPeaks.

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.