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Channel

Medical Project👨🏻‍💻🩺

@med_project_ir

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

238subscribers

-42 since we began measuring on 13 August 2026

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

Register entry

Telegram ID-1003534419478
TypeChannel
Username@med_project_ir
Created25 February 2026measured — dated from the channel’s first post
First recorded13 August 2026
Last confirmed live15 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/med_project_ir

Growth

23828426113 August 2026 — 280 subscribers14 August 2026 — 282 subscribers23 August 2026 — 284 subscribers30 August 2026 — 277 subscribers8 September 2026 — 252 subscribers15 September 2026 — 238 subscribers13 August 202615 September 2026
6 measurements spanning 33 days, net -42. 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 231–291 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 15:19238-14
8 Sept 2026, 04:59252-25
30 Aug 2026, 10:13277-7
23 Aug 2026, 05:06284+2
14 Aug 2026, 19:35282+2
13 Aug 2026, 20:03280first reading

Engagement

12 posts held, back to 25 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

31 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 54.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1754.8%
1341.9%
🔥13.23%

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 8 of the 12 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 25 February 2026 to 13 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

13 Aug 2026, 07:55 UTC18 views4 reactionsread 13 August 2026

🚨 چطور متن‌های تولیدشده با هوش مصنوعی را طبیعی‌تر و علمی‌تر کنیم؟ ابزارهای تشخیص متن تولیدشده با هوش مصنوعی صرفاً بر اساس چند کلمه یا یک الگوی مشخص تصمیم‌گیری نمی‌کنند. این سامانه‌ها معمولاً مجموعه‌ای از ویژگی‌های زبانی و آماری متن را بررسی می‌کنند؛ از جمله میزان پیش‌بینی‌پذیری واژگان و تنوع ساختار جمله‌ها. دو مفهوم در این زمینه بیشتر مورد توجه قرار می‌گیرند: 1⃣ پیچیدگی و پیش‌بینی‌پذیری متن (Perplexity) متن‌هایی ک

3👍1

11 Aug 2026, 15:28 UTC21 views3 reactionsread 13 August 2026

📊 کدوم نرم‌افزار آنالیز داده و چه آزمونی؟ واقعیت اینه که SPSS، R و GraphPad Prism فقط ابزار نیستن؛ انتخاب درست نرم‌افزار و روش تحلیل، مستقیماً روی کیفیت و قابل‌دفاع بودن نتایج پژوهشت اثر می‌ذاره. ✅ نرم‌افزار GraphPad Prism | انتخاب محبوب در پزشکی و علوم زیستی اگر پژوهشت در حوزه‌های پزشکی، زیست‌شناسی، ژنتیک، داروسازی یا علوم پایه پزشکیه، Prism یکی از گزینه‌های کاربردیه. ▫️ رسم نمودارهای علمی و حرفه‌ای ▫️ مناسب تحلی

👍3

9 Aug 2026, 15:37 UTC29 views4 reactionsread 13 August 2026

🎓 صفر تا صد نگارش پایان‌نامه پایان‌نامه در نگاه اول شاید یه کم پیچیده به نظر بیاد❗️ اما اگه ساختارش رو بشناسی، کاملاً قابل مدیریت و حتی ساده‌تر از چیزی می‌شه که فکر می‌کنی. یک پایان‌نامه استاندارد معمولاً در ۵ فصل اصلی نوشته می‌شه: 1⃣ فصل اول: کلیات تحقیق 🎯 این فصل در واقع نسخه کامل‌تر پروپوزالته. اینجا درباره مقدمه، بیان مسئله، اهمیت تحقیق، اهداف و فرضیات توضیح می‌دی. در اصل داور می‌خواد بدونه: چرا این موضوع رو ا

4

8 Aug 2026, 13:33 UTC30 views3 reactionsread 13 August 2026

📌 پروپوزالت چند بار برگشته برای اصلاح؟ 😵‍💫 یا هنوز نمی‌دونی دقیقاً از کجا باید شروع کنی؟ واقعیت اینه که نوشتن یک پروپوزال خوب فقط کنار هم گذاشتن چند مقاله و چند صفحه متن نیست! اگر می‌خوای پروپوزالت از همون اول اصولی نوشته بشه، این ۴ بخش رو جدی بگیر: 1⃣ عنوان و بیان مسئله 🎯 اولین جایی که استاد با پژوهش تو آشنا میشه، همین بخشه. ▫️ عنوان باید شفاف، دقیق، کوتاه و شامل متغیرهای اصلی تحقیق باشه. ▫️ بیان مسئله باید روشن ک

👍3

7 Aug 2026, 12:17 UTC29 views4 reactionsread 13 August 2026

⚠️ ۵ اشتباه در طراحی Graphical Abstract که می‌تونه از حرفه‌ای بودن مقاله‌ت کم کنه! قبل از اینکه داور مقاله‌ت رو بخونه، احتمالاً گرافیکال ابسترکت رو می‌بینه 👀 پس اگر قرار باشه این بخش شلوغ، نامفهوم یا خارج از استاندارد ژورنال باشه، ممکنه تأثیر اولیه خوبی روی مخاطب نذاره. اگر برای مقاله‌ت Graphical Abstract طراحی می‌کنی، این ۵ اشتباه رو حتماً جدی بگیر: ⛔️ طرح رو بیش از حد شلوغ نکن قرار نیست همه اطلاعات مقاله رو داخل

👍4

11 Jul 2026, 14:32 UTC≈21,000 views4 reactionsread 13 August 2026
Photo

​🚀 مسیر پژوهشی خود را با تیمی متخصص، هموار کنید... ​انجام تخصصی پروژه‌های دانشجویی و پژوهشی دانشجویان علوم پزشکی و وزارت علوم توسط دانشجویان دکتری دانشگاه تهران و وزارت بهداشت (با سابقه موفق در اجرای بیش از ۵۰ پروژه دانشگاهی و کشوری). ​خدمات حرفه‌ای Med Project: 🎨 طراحی گرافیکال ابسترکت (Graphical Abstract): طراحی و ساخت تصاویری جذاب، استاندارد و آماده سابمیت از مفاهیم مقالات شما 📊 آنالیز آماری و داده‌پردازی: تحل

3🔥1

8 May 2026, 13:54 UTC270 views5 reactionsread 13 August 2026

🔷 معرفی خدمات آنالیز داده Med Project 📊 تیم Med Project قادر به انجام آنالیز انواع داده‌های مربوط به رشته‌های مختلف از علوم پزشکی تا علوم انسانی است، مانند: 🔸 آزمون‌های تی استیودنت، کای اسکوئر، ویلکاکسون و مک‌نِمار 🔸 آزمون‌های پیشرفته GLM 🔸 آزمون‌های کمی و کیفی 🔸 آزمون‌های تکرار شونده در زمان (Repeated Measurement) 🔸 آزمون‌های پارامتریک و غیرپارامتریک 🔸 رگرسیون 🔸 دسته‌بندی 🔸 خوشه‌بندی 🔸 یادگیری ماشین و یادگیری عمیق

3👍2

26 Apr 2026, 15:16 UTC203 views4 reactionsread 13 August 2026
Photo

🔸 Polarity of virus release from infected cells. Modeled after Fenner and White's Medical Virology. Designed by the Med Project Graphic Design Team🏥 🔹 قطبیت رهایی ویروس ها از سلول آلوده. #Graphic_design #Virus #corona #Budding #Infection 📢 @medproject_ir

👍4

Showing the 12 most recent of 12 posts we hold for @med_project_ir. 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.

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

“Medical Project👨🏻‍💻🩺” (@med_project_ir), 238 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/med_project_ir.

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.