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Channel

Gil Meds

@gil_meds

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

552subscribers

+3 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-1002395968916
TypeChannel
Username@gil_meds
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 13 September 2026
On Telegramt.me/gil_meds

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 60% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

5485525506 August 2026 — 549 subscribers6 August 2026 — 549 subscribers20 August 2026 — 550 subscribers27 August 2026 — 548 subscribers4 September 2026 — 549 subscribers13 September 2026 — 552 subscribers6 August 202613 September 2026
6 measurements spanning 38 days, net +3. 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 547–553 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Sept 2026, 00:40552+3
4 Sept 2026, 01:19549+1
27 Aug 2026, 00:04548-2
20 Aug 2026, 21:44550+1
6 Aug 2026, 18:17549no change
6 Aug 2026, 03:52549first reading

Engagement

19 posts held, back to 20 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 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 19 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

30 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 86.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2686.7%
🔥413.3%

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 19 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 20 June 2026 to 31 July 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

31 Jul 2026, 04:39 UTC405 viewsread 6 August 2026

بخاطر پیام هاتون که چرا زود ظرفیت دوره‌ها بسته میشه ، واستون یه ظرفیت محدود تمدید کردیم 😎 جا نمونید!!

31 Jul 2026, 04:38 UTC105 viewsread 6 August 2026
Photo

​📣 گیل‌مدز پلتفرم جامع خدمات پژوهشی برگزار میکند: 📝 دوره جامع و عملی نگارش مقاله Narrative Review 💡 عنوان در حیطه هوش مصنوعی در حوزه جراحی و انکولوژی (سرطان‌شناسی) ​اولین مقاله خودت رو با ما بنویس! 🚀 👨‍🏫 مدرس: دکتر امیرعباس ملائی 🔸نویسنده بیش از 40 مقاله ISI در مجلاتی مانند The Lancet، Lancet Neurology و Lancet Infectious Diseases 🔸دارای H-index: 26 | i10-index: 35 🔸بیش از 100 مطالعه داوری شده برای ژورنال های بین

17 Jul 2026, 07:45 UTC455 views6 reactionsread 6 August 2026
Photo

افتخاری بزرگ برای حامی علمی پلتفرم گیل مدز، استاد دکتر سعید انواری، فوق تخصص خون و سرطان بالغین 🎉 با نهایت افتخار، کسب لوح تقدیر معاونت تحقیقات و فناوری وزارت بهداشت، درمان و آموزش پزشکی را به جناب استاد دکتر سعید انواری، فوق‌تخصص خون و سرطان، استادیار دانشگاه علوم پزشکی گیلان صمیمانه تبریک عرض می‌کنیم. 🏆👏 این تقدیر ارزشمند به پاس انتخاب ایشان به عنوان دانشمند ایرانی پراستناد یک درصد برتر جهان از دیدگاه Essential S

6

15 Jul 2026, 22:12 UTC297 viewsread 6 August 2026
Forwarded from @GUMS_SRC_2019Photo

📣 کارگاه آموزشی مقدمات تفسیر نوار قلب (ECG) ❤️‍🔥 کمیته تحقیقات و فناوری دانشجویی علوم پزشکی گیلان، دفتر توسعه آموزش علوم پزشکی (EDO) دانشکده پزشکی رشت، انجمن علمی آینده‌پژوهی علوم پزشکی، کمیته تحقیقات دانشجویی پزشکی بازساختی بیمارستان رازی و با همکاری: 🔸 کمیته‌های توسعه آموزش علوم پزشکی دانشگاه‌های علوم پزشکی ایلام، شهید بهشتی، یزد، قم و البرز برگزار می‌شود. 🎓 👩‍⚕️ استاد ناظر علمی: سرکار خانم دکتر نگین جعفرنژاد ثان

14 Jul 2026, 11:55 UTC267 views2 reactionsread 6 August 2026
Forwarded from @SCMED_GUILANPhoto

📰 گفت‌وگویی تخصصی با موضوع «آینده آموزش پزشکی در عصر هوش مصنوعی» با حضور دکتر سعید انواری، فوق‌تخصص هماتولوژی و عضو هیئت علمی دانشگاه علوم پزشکی گیلان، صبح روز سه‌شنبه ۲۳ تیر ۱۴۰۵ ساعت ۱۰ در هسته پژوهشی پزشکی بازساختی بیمارستان رازی رشت برگزار شد. 🎙️ این مصاحبه توسط آقای امیرحسین جعفری انجام شد و در آن، موضوعاتی همچون نقش هوش مصنوعی در آموزش پزشکی، ضرورت بازنگری در شیوه‌های آموزشی، آینده پزشکی شخصی‌سازی‌شده، ، اخلاق

2

12 Jul 2026, 19:55 UTC≈1,340 viewsread 6 August 2026
Photo

​📣 گیل‌مدز پلتفرم جامع خدمات پژوهشی برگزار میکند: 📝 دوره جامع و عملی نگارش مقاله Narrative Review 💡 عنوان در حیطه هوش مصنوعی در حوزه جراحی و انکولوژی (سرطان‌شناسی) ​اولین مقاله خودت رو با ما بنویس! 🚀 👨‍🏫 مدرس: دکتر امیرعباس ملائی 🔸نویسنده بیش از 40 مقاله ISI در مجلاتی مانند The Lancet، Lancet Neurology و Lancet Infectious Diseases 🔸دارای H-index: 26 | i10-index: 35 🔸بیش از 100 مطالعه داوری شده برای ژورنال های بین

9 Jul 2026, 09:20 UTCviews —

Gil Meds pinned «به علت حجم بالای تقاضا دو نفر به ظرفیت این دوره براتون اضافه کردیم 😍🤝 برای اطلاعات بیشتر به ای دی زیر پیام ارسال کنید : @Gilmeds_pressagent»

9 Jul 2026, 09:19 UTC503 views3 reactionsread 6 August 2026

به علت حجم بالای تقاضا دو نفر به ظرفیت این دوره براتون اضافه کردیم 😍🤝 برای اطلاعات بیشتر به ای دی زیر پیام ارسال کنید : @Gilmeds_pressagent

3

8 Jul 2026, 14:31 UTC291 views2 reactionsread 6 August 2026
Forwarded from @RegenMedCenterPhoto

​✨ به هسته پژوهشی بازساختی فراهم آوری و پیوند اعضای بیمارستان رازی بپیوندید! 🔵 ​ما در هسته پژوهشی بیمارستان رازی، برای شروع یک دوره پر از نوآوری و موفقیت، به دنبال هم‌تیمی‌های پرانرژی، خلاق و متعهد هستیم. اگر می‌خواهید در یک تیم تخصصی رشد کنید و رزومه علمی و اجرایی خودتان را ارتقا بدهید، جای شما در شورای مرکزی ما خالی است! ​🚀 در چه حیطه‌هایی می‌توانید با ما همکاری کنید؟ ✅ آموزش: ایده‌پردازی و اجرای رویدادها و کارگا

2

Showing the 12 most recent of 19 posts we hold for @gil_meds. 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

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 11 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.

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

“Gil Meds” (@gil_meds), 552 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/gil_meds.

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.