Telegram RegisterThe public register of Telegram
Telegram profile photo for توییتر دانشجویان علوم پزشکی 👨🏻‍⚕👩🏻‍⚕

Channel

توییتر دانشجویان علوم پزشکی 👨🏻‍⚕👩🏻‍⚕

@MSS_twitter

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

18,759subscribers

-146 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001127521689
TypeChannel
Username@MSS_twitter
Description﷽ خوش آمدید❤❤ @MSS_twitter چنلی برای بیان حرف ها و دغدغه های خانواده علوم پزشکی ارسال توییت با اسم یا اسم مستعار اختصاصی خودتون، ویزیت آنلاین یا هرچیز دیگه ای و ارتباط با ادمین: @mss_admins
Created3 September 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/MSS_twitter

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@MSS_twitter/43177 · this entry6 Aug 2026, 18:31 UTC@medtweeet/1153587 Aug 2026, 14:32 UTC1.0020 hours
@MSS_twitter/43254 · this entry27 Aug 2026, 17:23 UTC@medtweeet/11631428 Aug 2026, 18:34 UTC1.0025 hours
@medtweeet/1190428 Nov 2026, 09:15 UTC@MSS_twitter/43894 · this entry8 Nov 2026, 18:19 UTC0.939.1 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@medtweeet5 (5/5 hand-verifiable sample passed)0.9920 hoursthis entry (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 239 comparable posts for this entry, running 27 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

18,71918,90818,813.518,7596 August 202610 November 2026
61 measurements spanning 96 days, net -146. 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 18,691–18,936 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
10 Nov 2026, 06:0618,759-5
8 Nov 2026, 20:2818,764+1
7 Nov 2026, 13:2618,763+11
6 Nov 2026, 10:3618,752+13
5 Nov 2026, 12:1718,739+9
4 Nov 2026, 12:2518,730-4
3 Nov 2026, 11:3618,734+3
2 Nov 2026, 14:0518,731-6
1 Nov 2026, 17:0618,737-5
31 Oct 2026, 15:3818,742+2
30 Oct 2026, 13:5518,740+2
29 Oct 2026, 11:5718,738-6
28 Oct 2026, 10:2918,744-2
27 Oct 2026, 09:3518,746+3
26 Oct 2026, 08:4418,743-7
25 Oct 2026, 08:3918,750-3
24 Oct 2026, 09:0118,753+7
23 Oct 2026, 09:0918,746+2
22 Oct 2026, 12:1818,744-14
20 Oct 2026, 01:4818,758first reading

Engagement

253 posts held, back to 27 July 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 81 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.7%
avg views ÷ 18,759 subscribers
Avg views / post
2,390
114 posts measured
Reaction rate
4.26%
reactions ÷ views · ER floor
Posts in window
114
of 253 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 11 November 2026
Posts held253 (27 July 2026 – 11 November 2026)
Views total271,940
Reactions total11,590
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 21:20 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.

What this channel posts

Photos
≈9,850
Videos
≈1,670
Links
≈13,100

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
16m 18s
Average length
1m 22s

Measured directly from 12 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

27,150 reactions across 240 posts, in 46 distinct kinds. The most used accounts for 27.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣7,58127.9%
❤4,63317.1%
💔4,23815.6%
👍1,7816.56%
🤯1,2294.53%
😱1,0753.96%
😭8453.11%
😢7782.87%
😁7752.85%
🥰4001.47%
👏3811.40%
🤬3811.40%
🤪3691.36%
🤝3651.34%
❤‍🔥3331.23%
😨2971.09%
👌2200.81%
😍2050.755%
🤔1780.656%
🫡1720.634%
26 further kinds9143.37%

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 253 of the 253 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 28,573 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 253 most recent posts we hold, published 27 July 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 59 of 114 posts held from the last 30 days (51.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 17:48 UTC≈1,000 views3 reactionsread 11 November 2026
Forwarded from @Pharmacy_AssociationPhoto

📚کارگاه آموزش پروژه‌محور سیستماتیک ریویو 🔎 آموزش عملی سیستماتیک ریویو و ورود به مسیر همکاری پژوهشی و نگارش مقاله 💠مدرس: 👤دکتر مائده حسن‌پور 🔵عضو هیئت علمی مرکز تحقیقات طب و داروسازی سنتی دانشکده داروسازی دانشگاه علوم پزشکی تهران 👥مخاطبین: تمام دانشجویان رشته‌های علوم پزشکی، بدون محدودیت در موضوع و رشته 🎓به همراه پشتیبانی تا انتشار مقاله برای دانشجویان مستعد و فعالِ واجد شرایط 💻 در ۶ ساعت به صورت مجازی 🎖به همراه…

❤3

11 Nov 2026, 17:47 UTC≈1,010 views119 reactionsread 11 November 2026

‏در باب رسیدگی به بیمار اورژانسی در خارج از بیمارستان داستانی یادم افتاد. ‏سال اول رزیدنتی ظهر در خیابان نزدیک بیمارستان امام رضا تبریز پیاده برمیگشتم خونه ‏دیدم یک ماشین وسط خیابان ایستاده، راننده بیهوشه و مردم جمع شدن، سه نفر چسبیده به ماشین بودند که دو تاشون سرشون توی ماشین بود ‏رفتم نزدیک گفتم برید کنار من پزشکم ‏اون سه نفر ‏یکی‌شون اتند طب اورژانس بود ‏یکی‌شون رزیدنت قلب بود ‏یکی‌شون رزیدنت بیهوشی ‏برگشتم رفتم س…

🤣112❤3😁2🙈2

11 Nov 2026, 17:47 UTC≈1,010 views79 reactionsread 11 November 2026

‏یه بار داشتم زایمان طبیعی مریض رو میگرفتم،ماما قهر کرده بود رفته بود و همراهشم یه خواهرشوهر دیوونه ای بود کل مدت داشت به این طفلک غر میزد و اذیتش میکرد،منم بیرونش کردم؛ ‏سر بچه روی دستم بود که یهو یکی از پشتم اومد ‏داد زدم مگه نگفتم همراه بیرون باشه؟ ‏رئیس گروه زنانمون بودند😭 ▪️کوئین چنگولی(اژدها) به جمع خانواده علوم‌ پزشکی بپیوندید ❤️ @Mss_twitter

🤣72🙈5❤1😭1

11 Nov 2026, 17:47 UTC≈1,020 views119 reactionsread 11 November 2026

‏اینترنی تو استیشن نشسته بودم و خیلی خسته و کلافه دنبال برگه مشاوره میگشتم.یه خانمی نشسته بود پاشو گذاشته بود جلوی کشوی زیر استیشن.گفتم خانم پاتو جمع کن.اصن واسه چی اومدی تو استیشن. ‏گفت ببخشید و بلند شد رفت اون طرف نشست.منم برگه رو برداشتم. ‏بعد ازظهر دوستم اومد گفت چه گهی خوردی؟ ‏گفتم چی شده. ‏گفت رفتی به اتند گیر دادی فوق گوارش اطفال باهاش بد حرف زدی. ‏گفتم کیو میگی من اصن امروز با هیچ اتندی برخورد نداشتم. ‏گفت …

❤76🤣29😭5❤‍🔥4👏3👍1🤪1

11 Nov 2026, 17:47 UTC≈1,020 views31 reactionsread 11 November 2026
Video

لنفوسیتهای T و B بدنم در مقابله با آنفولانزا: ▪️دابانف به جمع خانواده علوم‌ پزشکی بپیوندید ❤️ @Mss_twitter

🤣30😁1

11 Nov 2026, 16:00 UTC≈1,300 views3 reactionsread 11 November 2026
Photo

#بالینی ژلوفــ💊ــن دیجیتالی نورولوژی منتشر شد ! 🧠 جزو اولین منابع آموزشی نورولوژی بر اساس رفرنس جدید امینف ✨ 🔺 تعداد فصل ها : ۱۴ فصل 🔺 تعداد صفحه : ۲۰۵ صفحه تخفیف ۳۰٪ روز اول انتشار برای ۵۰ نفر اول 🎊 🔗با یه کلیک استارت بزن

🏆2❤1

11 Nov 2026, 16:00 UTC≈1,320 views33 reactionsread 11 November 2026
Video

بیمار وقتی تو داروخانه داروهای شیش ماهش رو مجانی بهش نمیدیم. ▪️Barbie Bee به جمع خانواده علوم‌ پزشکی بپیوندید ❤️ @Mss_twitter

🤣28❤3👎1💔1

11 Nov 2026, 16:00 UTC≈1,330 views143 reactionsread 11 November 2026

امروز غم انگیز ترین سوساید بیمارستان رو دیدم، پسر ۱۳ ساله می گفتن که از مدرسه اخراج شده و تو خونه وقتی پدر مادرش سر کار بودن خودشو دار زده و قسمت غم انگیز ترش اینه که با خواهر ۷ سالش خونه بودن و خواهر این صحنه رو دیده، دلم برای اون بچه واقعا سوخت. ▪️selenophile🌙 به جمع خانواده علوم‌ پزشکی بپیوندید ❤️ @Mss_twitter

💔100😭40😢3

10 Nov 2026, 19:23 UTC≈2,380 views218 reactionsread 11 November 2026

‏قدر عزیزانمون رو بدونیم، خصوصا قدر پدر و مادرهامون رو.. ‏اینا نعمتهایی هستن که دیگه هیچ‌وقت تکرار نمیشن.. ‏امروز تو درمانگاه پیرزن حدوداً هشتادساله‌ای رو آوردن؛ خمیده، لاغر و تکیده، با عصا راه میرفت و چشماش هم ضعیف شده بود. چند بیماری مزمن داشت؛ قند، فشار و مشکل قلبی.. ‏بعد از /۱ ‏معاینه پرسیدم چه داروهایی مصرف می‌کنی؟ گفت دارو زیاد مصرف میکنم. گفتم پس جعبه یا ورق داروهات رو بده تا برات بنویسم. ‏گفت هیچی همراهم نی…

❤159😭35💔12👎4👏4🥰3💯1

10 Nov 2026, 19:23 UTC≈2,310 views10 reactionsread 11 November 2026

سلام به همگی ادمین هستم ترم دو دوره pediapraxis به زودی شروع میشه ترم دو خیییلی خفنه بیماری های شایع اطفال رو یاد میگیرید بالای ۲۵ ساعت کلاس انلاینه فیلمای کلاسا هم در اختیارتون قرار میگیره گروه مطرح کردن کیس و پرسش و پاسخ داره همممچییی اصلا نگم براتون منم یکی از شرکت کننده ها هستم تخفیف خیلی خوبی هم برای ثبتنام زود هنگام دارن برای ثبتنام یا بیاین پی وی ادمین یا پی وی پایین @pediapraxis_admin به جمع خانواده ع…

❤6👎2💯2

10 Nov 2026, 19:23 UTC≈2,280 views91 reactionsread 11 November 2026

‏با همکاران پزشک درسته دعوای درونی داریم ولی‌ اجازه نمیدیم بیگانگان از اختلافمون خبردار شن. ‏من خودم شخصا همیشه جلوی بیمارا که میان پیش ما غیبت پزشک رو میکنن پشت همکارام درمیام و تو این مدت با چندین مراجع سر این قضیه دعوام شده😅😂 ▪️SnowWoman به جمع خانواده علوم‌ پزشکی بپیوندید ❤️ @Mss_twitter

🤝65❤10👍7🤪5🤔2🤬1🤷‍♂1

10 Nov 2026, 19:23 UTC≈2,540 views70 reactionsread 11 November 2026
Video

#حسین_خیراندیش که مرده زنده میکرد و صندلی برنامه‌های #صداوسیما در اختیارش می‌گذاشتند تا خزعبلات تحویل #مردم دهد #بازداشت شد ▪️نادر علیزاده به جمع خانواده علوم‌ پزشکی بپیوندید ❤️ @Mss_twitter

👏46🥰15❤4🤣3😨2

Showing the 12 most recent of 253 posts we hold for @MSS_twitter. 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.

Posts edited after publishing

@MSS_twitter edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
1 September 2026
Most recent edit
1 September 2026

Posts recorded as deleted after publishing

We recorded 14 posts on @MSS_twitter as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
25 hours
Seen missing in the last 30 days
8

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 6 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

توییتر دانشجویان علوم پزشکی
@medtweeet · 85,645
#1
دکتر ظریفی پزشک‌ کودکان
@doctor_zarifi · 55,169
#2
Medical University 🏛⚕
@medicaluniversity · 83,343
#3
پُست کشیک
@postkeshik · 39,412
#4
کانال آموزشی دکتر مینا صافی
@drminasafi59 · 26,665
#5
Funical
@Funical · 13,590
#6
medistU | مدیستیو
@medistU · 54,095
#7
Medical Jozveh
@medical_jozveh_channel · 127,346
#8
گزارش صبحگاهی مرکز طبی کودکان
@childrensmedicalcenter · 11,424
#9
Internal.Medicine.For.Students
@Internal_Medicine_For_Students · 12,411
#10
خلاصه های بالینی | مدوفست
@medofast_balini · 37,278
#11
کانال طِب اَطفال
@TebeAtfal · 52,118
#12
پزشکیات
@pezeshkiiat · 9,731
#13
بالینوما | Balinoma
@Balinoma · 22,877
#14
Divane nevesht
@divanenevesht · 2,900
#15
دکتر سپهر نیک زاد
@Drsepehrnickzad · 18,341
#16
مدیکالیسم | medicalism
@Doctor_MIB_iran · 40,372
#17
دکتر کاردیولوگ
@DrKardiologe · 7,988
#18
مدرسه پزشکی | امیرمحمد قربانی
@schoolofmedicine_ir · 27,168
#19
Med_Skill
@med_skills · 37,901
#20
مِدپلاس | Medjuu
@medjuu · 8,516
#21
MEDYAR | مدیار
@med_yar · 12,663
#22
اوردر، نسخه و ضروریات پزشکی
@zarooriatpezeshki · 13,605
#23
مِد وی ן Med Way
@medico_way · 16,009
#24
صدای دانشجو
@S_Daneshju · 28,869
#25
روپوش سفید 👨🏻‍⚕️
@roopooshesefid · 909
#26
ویس و جزوه بهمن ۹۸
@IAUTMU_98B_media · 1,353
#27
اطلاع رسانی پزشکی مهر ۱۴۰۰ تبریز
@tbzmed_001 · 1,515
#28
طب اورژانس EMERGENCY
@med_info · 33,721
#29
جزوات‌ و ویس‌های پزشکی مهر۹۸
@IAUTMU_98_media · 1,858
#30
کتابخونه پزشکی
@ketabkhone_pezeshki · 2,620
#31
باتریاد | Baateryad
@baateryad · 1,256
#32
MedPulse
@jozvetums1402 · 12,822
#33
اخبار جامعه پزشکی ایران
@IMS_NEWS · 11,639
#34
"کانال اطلاع رسانی اداره آموزش دانشکده پزشکی گرگان"
@GOUMS0Amozesh0pezeshki · 1,459
#35
Next ResiDent
@nextresiDent · 5,351
#36
📞 الو بیمارستان؟
@alo_bimarestan · 29,163
#37
نوری در تاریکی
@pezeshkanjavaniran · 6,967
#38
رزیدنت نیوز ן دستیاری پزشکی
@Medical_resident · 21,586
#39
Ekg learning 🏥
@step_by_step_ekg · 8,618
#40
علوم پایه ۹۹
@Olumpaye99 · 25,563
#41
اطلاع رسانی پزشکی بهمن ۱۴۰۰ تبریز
@tbzmed_002 · 1,440
#42
کتابخونه | مهر۹۸
@Mehr98Lib · 1,853
#43
مفدا شاهرود
@mefdashahrud · 2,405
#44
Termocyclin | ترموسایکلین
@Termocyclin · 6,609
#45
Master Nursing
@master_nursing1 · 13,092
#46
بقچه راه
@boghcheyerah · 2,014
#47
آتروپین | ارولوژی
@Atropine_urology · 4,677
#48
Medico news | 🩺 | مدیکو نیوز
@medico_news · 3,211
#49
دفتر منتورینگ دانشجویی دانشکده پزشکی تبریز
@tbzmentoring · 1,890
#50
طب کودکان - Pediatrics
@pediatricmedicine · 2,226
#51
شورای صنفی علوم پزشکی البرز
@ShoraSenfiAlborz · 5,108
#52
تصویرسازی حفظیات پزشکی | گردو
@gerdooposhtibani · 15,082
#53
قوانین صنفی پزشکان
@ghavaninesenfi · 20,247
#54
کلینیک کودکان دکتر ملیکوف
@Drmelikof59 · 2,684
#55
دانشجویان علوم پزشکی
@medicall_students · 79,695
#56
اطلاع‌رسانی علوم پزشکی
@IAUTM · 26,631
#57
همراه پزشکی ۱۴۰۲
@hamrahpezeshki02 · 907
#58
منابع بیگانه
@scientific_resources · 16,068
#59
Golestan university of medical sciences
@medicalgolestan · 5,035
#60
کاگنیشن تایمز | اخبار علوم شناختی
@CognitionTimes · 5,027
#61
Internship Guide
@intern_guide · 12,567
#62
Medical Professionalism
@medprofessionalism · 2,244
#63
کافه مفدا تبریز
@tabrizmefda · 6,804
#64
👩‍⚕دکترظریفی_پادکستها
@drzarifi_podcast · 20,617
#65
آموزش نسخه نویسی و طبابت استاد طب
@ostaadteb · 29,957
#66
دستیاری
@Dastyari52 · 9,093
#67
شورای صنفی مرکزی دانشگاه علوم پزشکی تهران
@SGC_TUMS · 14,377 (as read 5 October 2026)
#68
نشریات پزشکی آزاد تهران
@iautmedio · 5,496
#69
فیلمومِد
@Learningvideos99 · 39,890
#70
شورای صنفی دانشجویان علوم پزشکی تبریز
@senfi_tbzmed · 10,295
#71
📚Medicalism Library
@medicalism_Library · 11,497
#72
کانال آموزشي دكتر ژيان
@drjian · 26,649
#73
Med Line | مِد لاین
@Medical_line · 38,344
#74
گروه آموزشی دکتر طاهرنژاد
@drtahernezhadgroup · 14,247
#75
توییتر آزاد پزشکی 💊💉💸
@AP_twitter · 3,410
#76
گروه مشاوره دکتر قصری
@Dr_Ghasri · 5,569
#77
DrBahari
@DrBahariii · 8,950
#78
پزشکان سهمیه‌ای
@pezeshkan_sahmiei · 19,843
#79
YouMed
@YouMedChannel · 1,568
#80
INTERNAL MEDICINE BOARD REVIEW
@INTERNALMEDICINEBOARD · 14,076
#81
SCMED.National
@SCMED_national · 8,935
#82
Termopasin®
@Termopasin · 7,858
#83
اصطلاحات پزشکی
@MedicalTermino · 16,705
#84
کار دانشجویی علوم پزشکی | مدیلنسر
@medilancer · 98,872
#85
یادداشت‌های یک روانپزشک
@Hafezbajoghli · 15,025
#86
سوته‌دلان
@sootehdelan333 · 14,459
#87
بلو ماری 🌊
@mary_juaana · 19,732
#88
مهارتهای بالینی
@clinicalskills2 · 3,665
#89
داروشناسی پزشکی
@medical_drugs1 · 51,383
#90
تشخیص های افتراقی
@differential_diagnosis1 · 32,078
#91
[ آرشیو پزشکی ]
@MedicineFilesArchive · 11,511
#92

Read from Telegram’s recommendation API, most recently 5 October 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

کانال آموزشی دکتر مینا صافی
@drminasafi59 · 26,665
Telegram ranks this channel #4 of 90 here — alongside 89 others — read 11 September 2026
دکتر ظریفی پزشک‌ کودکان
@doctor_zarifi · 55,169
Telegram ranks this channel #4 of 87 here — alongside 86 others — read 23 August 2026
👩‍⚕دکترظریفی_پادکستها
@drzarifi_podcast · 20,617
Telegram ranks this channel #6 of 67 here — alongside 66 others — read 25 September 2026
📞 الو بیمارستان؟
@alo_bimarestan · 29,163
Telegram ranks this channel #22 of 95 here — alongside 94 others — read 8 September 2026
طب اورژانس EMERGENCY
@med_info · 33,721
Telegram ranks this channel #50 of 95 here — alongside 94 others — read 3 September 2026
medistU | مدیستیو
@medistU · 54,095
Telegram ranks this channel #63 of 96 here — alongside 95 others — read 24 August 2026
Med_Skill
@med_skills · 37,901
Telegram ranks this channel #64 of 92 here — alongside 91 others — read 31 August 2026
کانال طِب اَطفال
@TebeAtfal · 52,118
Telegram ranks this channel #67 of 96 here — alongside 95 others — read 25 August 2026
بانک PDF پزشکی📚
@PDFbankdaro · 32,291
Telegram ranks this channel #68 of 94 here — alongside 93 others — read 5 September 2026
بالینوما | Balinoma
@Balinoma · 22,877
Telegram ranks this channel #69 of 91 here — alongside 90 others — read 25 September 2026
پُست کشیک
@postkeshik · 39,412
Telegram ranks this channel #74 of 95 here — alongside 94 others — read 31 August 2026

This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“توییتر دانشجویان علوم پزشکی 👨🏻‍⚕👩🏻‍⚕” (@MSS_twitter), 18,759 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/MSS_twitter.

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.