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Channel

پزشکی_سرای_دانشجو

@psarayedaneshjo

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

10,163subscribers

-31 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-1001146718433
TypeChannel
Username@psarayedaneshjo
Description#سرای_دانشجو منبع جزوات پزشکی دانشگاهی ،فیلم های اموزشی ومقالات علمی نظرات و پیشنهادات خود را برای بهتر کردن مطالب کانال برای ما ارسال کنید با تشکر مدیریت کانال پزشکی سرای دانشجو🌹🌹 تعرفه تبلیغات @starh20 تبادل @starh20
Created15 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/psarayedaneshjo

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 5 other registered channels. This entry also sits inside a group of 13 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@EmergencyNursee/2476127 Jul 2026, 13:26 UTC@psarayedaneshjo/15266 · this entry27 Jul 2026, 13:26 UTC1.00under a minute
@EmergencyNursee/2476428 Jul 2026, 07:31 UTC@psarayedaneshjo/15270 · this entry28 Jul 2026, 07:31 UTC1.00under a minute
@psarayedaneshjo/15273 · this entry30 Jul 2026, 06:59 UTC@EmergencyNursee/2476830 Jul 2026, 06:59 UTC1.00under a minute
@EmergencyNursee/2476930 Jul 2026, 09:52 UTC@psarayedaneshjo/15274 · this entry30 Jul 2026, 09:52 UTC1.00under a minute
@psarayedaneshjo/15275 · this entry30 Jul 2026, 11:01 UTC@EmergencyNursee/2477030 Jul 2026, 11:02 UTC1.00under a minute
@psarayedaneshjo/15276 · this entry30 Jul 2026, 11:01 UTC@EmergencyNursee/2477130 Jul 2026, 11:02 UTC1.00under a minute
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
@EmergencyNursee11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (7–4)
@PDFFILLE5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)
@daneshe_parastari5 (5/5 hand-verifiable sample passed)1.0072 secondsthis entry (4–1)
@pharrm_20185 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)
@ketabepezeshki5 (5/5 hand-verifiable sample passed)1.00under a minute@ketabepezeshki (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. 9 of the 12 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 74 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).

Of the group of 13 channels, the one whose matching posts we hold earliest is @pulse_medicall. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, 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.

Channels linked by matching posts

This channel is in a group of 13 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

10,06910,20210,135.510,1636 August 202610 November 2026
65 measurements spanning 96 days, net -31. 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 10,049–10,222 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 08:1110,163-12
8 Nov 2026, 21:5610,175+39
7 Nov 2026, 13:1710,136-7
6 Nov 2026, 13:0110,143+22
5 Nov 2026, 12:4910,121-2
4 Nov 2026, 11:1610,123+54
3 Nov 2026, 08:5610,069-5
2 Nov 2026, 10:3910,074-4
1 Nov 2026, 09:2410,078+2
31 Oct 2026, 06:3810,076-12
30 Oct 2026, 09:3110,088+1
29 Oct 2026, 08:1010,087-10
28 Oct 2026, 05:5710,097-9
27 Oct 2026, 02:4610,106-4
26 Oct 2026, 02:2010,110-8
25 Oct 2026, 00:0410,118-7
23 Oct 2026, 22:3510,125-11
22 Oct 2026, 21:4010,136-7
21 Oct 2026, 19:4610,143+10
20 Oct 2026, 18:1110,133first reading

Engagement

97 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 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.10%
avg views ÷ 10,163 subscribers
Avg views / post
315
34 posts measured
Reaction rate
0.569%
reactions ÷ views · ER floor
Posts in window
35
of 97 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. It is computed over the 8 of 34 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held97 (27 July 2026 – 10 November 2026)
Views total10,697
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 22:10 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
≈1,750
Videos
≈1,220
Links
≈496

Lifetime counters from Telegram’s own channel header, read 10 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
8m 57s
Average length
45s

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

41 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 48.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2048.8%
😢512.2%
💔49.76%
🔥49.76%
🙏37.32%
😱24.88%
⚡12.44%
🕊12.44%
😭12.44%

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 97 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 41 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 97 most recent posts we hold, published 27 July 2026 to 10 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: 1 of 35 posts held from the last 30 days (2.86%) 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).

10 Nov 2026, 19:45 UTC32 viewsread 10 November 2026

⏱استخدام در بیمارستان ،داروخانه ها و آزمایشگاه های خصوصی و دولتی با بالاترین حقوق و مزایا @medjobpro ⏱تو این گرونی دیگه پول کتاب نده ! پی‌دی‌اف کتاب مورد علاقتو رایگان دانلود کن📚 @pdfbankdaro ⏱فارماکولوژی و نسخه‌خوانی @daruu_2020 ⏱لذت داروشناسے ونسخه خوانے رایگان @pharrm_2018 ⏱آموزش انلاین واو به واو پرستاری، سوچور، پانسمان، تزریقات @parastar_nemoneh ⏱نسخه خوانی انواع نسخ و استخدام تکنسین دارویی @noskhekhanidor…

Signed هانیه

9 Nov 2026, 14:03 UTC168 views2 reactionsread 10 November 2026

نام ماده موثره: سیلدنافیل (Sildenafil). گروه دارویی: مهارکننده آنزیم فسفودی‌استراز نوع ۵ (PDE5 inhibitor). مکانیسم: با مهار آنزیم PDE5، باعث افزایش سطح cGMP در جسم سلول‌های صاف عروق آلت تناسلی می‌شود. این امر منجر به شل شدن عضلات صاف و اتساع عروق (Vasodilation) و در نتیجه افزایش جریان خون به ناحیه می‌شود. ۲. موارد مصرف: درمان اختلال نعوظ (ED). در برخی موارد برای مدیریت علائم فشار خون ریوی (Pulmonary Hypertension). ۳.…

❤2

Signed هانیه

9 Nov 2026, 10:58 UTC222 views2 reactionsread 10 November 2026
Photo

🔴 یه عضو کادر درمان : این تازه دامادایی که دقیقا یه روز بعد از عروسیشون ایست قلبی میکنن ؛ علتش مصرف قرص ویاگرا هست.

🕊1😱1

Signed هانیه

8 Nov 2026, 18:51 UTC31 viewsread 8 November 2026

💼 مرجع تخصصی استخدامی کادر درمان و آزمون‌های وزارت بهداشت @medjobpro ⏱روزانه یک بیماری و Order ، هفتگی یک نوارقلب و تفسیرگرافی و کیس بالینی را کامل بیاموزید. همراه با مرور سوالات @medipoints ⏱اصلا کتاب نخرین!!! بیاین اینجا مفتی دانلود کنید @medfile_pharma ⏱تو این گرونی دیگه پول کتاب نده ! پی‌دی‌اف کتاب مورد علاقتو رایگان دانلود کن📚 @pdfbankdaro ⏱لذت داروشناسے ونسخه خوانے رایگان @pharrm_2018 ⏱آموزش انلاین واو به…

Signed هانیه

7 Nov 2026, 17:39 UTC40 viewsread 7 November 2026
Forwarded from @EmergencyNursee

🔴قابل توجه متقاضیان آزمون ارشد علوم پزشکی (وزارت بهداشت)1406 👇 وبینار آموزش زبان ارشد ودکتری کاملا رایگان لینک رایگان فقط و فقط برای 300 نفر اول ارسال خواهد‌شد. ✅برای دریافت لینک رایگان عدد 1 را به آیدی زیر بفرستید: 👇👇 http://T.me/heydari_languagecenter9636

Signed هانیه

7 Nov 2026, 17:39 UTC31 viewsread 7 November 2026
Forwarded from @sorena_publicPhoto

✅این جلسه کاملا” رایگان✅ ❌شروع قدرتمندترین دوره جامع زبان انگلیسی ویژه کنکور ارشد و دکتری علوم پزشکی (وزارت بهداشت) 1406به سبک دکتر حیدری❌ 💪💯درصد زبانت رو تضمین کن💪💯 📆شروع دوره از: دوشنبه 18 آبان ماه رأس ساعت 19:30 ✅ برای رزرو جلسه اول دوره عدد 1 را به ایدی زیر بفرس ولینک شرکت رایگان را دریافت کن : 🆔 @heydari_languagecenter9636 ☎️ 09120779636 📣 دوستان خود را مطلع کنید📣 🆔Telegram: https://t.me/joinchat/SZ9gj2Gsp

Signed هانیه

7 Nov 2026, 14:27 UTC287 viewsread 10 November 2026
File

🌐آزمون استخدامی سازمان انتقال خون ایران 🔴با توجه به مجوز صادره به ‌منظور تأمین نیروی انسانی مورد نیاز در سازمان انتقال خون ایران، آزمون استخدامی مربوط با ضوبط و شرایط دفترچه پیوست اعلام می گردد. ⏳برنامه زمان‌بندی: 🔹زمان ثبت‌نام : تا شنبه ۲۲ آبان‌ماه 🔴دریافت کارت: از سه‌شنبه ۲۴ آذر‌ماه 🔹برگزاری آزمون : جمعه ۲۷ آذر‌ماه 🔗لینک ثبت‌نام 🔗لینک جستجوی مشاغل

Signed هانیه

6 Nov 2026, 07:42 UTC324 viewsread 10 November 2026

🌐امروز آخرین مهلت ثبت نام آزمون دکتری غیر علوم پزشکی ۱۴۰۶ 🔹مهلت ثبت نام آزمون ورودی مقطع دکتری نیمه‌متمرکز (Ph.D.) رشته‌های غیر علوم پزشکی سال ۱۴۰۶ فردا, جمعه ۱۵ آبان‌ماه ۱۴۰۵ پایان می یابد. 🔹متقاضیان برای ثبت نام به وبگاه این سازمان به نشانی sanjesh.org مراجعه کنند. 🔹آزمون دکتری تخصصی ۱۴۰۶, جمعه ۱۶ بهمن‌‌ماه برگزار می‌شود.

Signed هانیه

5 Nov 2026, 18:03 UTC18 viewsread 5 November 2026
Forwarded from @Pharmacy_AssociationPhoto

💊دوره جامع جعبه‌ابزار کاربردی تداخلات دارویی و غذایی 💠مدرسین: 👤دکتر سها نمازی 🔵استاد داروسازی بالینی دانشگاه علوم پزشکی تهران 👤دکتر بیتا شهرامی 🔵استادیار داروسازی بالینی دانشگاه علوم پزشكی تهران 👤دکتر هادی اسماعیلی 🔵استادیار داروسازی بالینی دانشگاه علوم پزشکی شهید بهشتی 👤دکتر عفت داوودی 🔵فلوشیپ فارماکوتراپی مراقبت‌های ویژه 👤دکتر شیما حیدری 🔵متخصص داروسازی بالینی 👤دکتر زهرا زاهد 🔵بورد تخصصی داروسازی بالینی 👥مخا…

Signed هانیه

5 Nov 2026, 18:03 UTC25 viewsread 5 November 2026
Forwarded from @pharrm_2018

⚠️ آخرین فرصت ثبت‌نام دوره کاربردی تداخلات دارویی و غذایی، ویژه تمام جامعه علوم پزشکی❗️ اطلاع از شرایط ثبت‌نام و تخفیفات: 💠@Pharmacy_Association_Admin

Signed هانیه

5 Nov 2026, 17:14 UTC331 views1 reactionsread 10 November 2026

مرور سریع داروهای ادرارآور (Diuretics) 🎯 تفکیک مکانیسم اثر و عوارض مهم داروهای اصلی. 1️⃣ لوپ دیورتیک‌ها (Loop Diuretics) - مثل Furosemide مکانیسم: مهار بازجذب سدیم، کلر و پتاسیم در بخش Ascending Loop حلقه هنله. قدرت: بسیار قوی (High-ceiling). ⚠️ نکته پرستاری مهم: خطر بالای Hypokalemia (کاهش پتاسیم) و Ototoxicity (سمیت گوش) در صورت تزریق سریع IV. 2️⃣ Thiazide Diuretics - مثل Hydrochlorothiazide مکانیسم: مهار بازجذب س…

❤1

Signed هانیه

5 Nov 2026, 12:30 UTC348 viewsread 10 November 2026
Photo

خارج کردن بیش از ۳۰۰ سنگ از کلیه دختر ۲۰ ساله‌ای که به‌جای آب، بابل‌تی می‌نوشید! یک اتفاق عجیب پزشکی در تایوان نشان داد که جایگزین کردن آب با نوشیدنی‌های شیرین چقدر می‌ تواند خطرناک باشد. دکتر لیم چیه‌یانگ، متخصص اورولوژی، توضیح داد که مصرف مداوم بابل‌تی به‌جای آب باعث شده بود بدن این دختر برای مدت طولانی با کم‌آبی روبه‌رو باشد و ادرارش بیش از حد غلیظ شود. در این شرایط، موادی مانند کلسیم و اگزالات راحت‌تر در کلیه ج…

Signed هانیه

Showing the 12 most recent of 97 posts we hold for @psarayedaneshjo. 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 recorded as deleted after publishing

We recorded 9 posts on @psarayedaneshjo 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
3 November 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
4

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 70 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

نسـخه خــوانى و معــرفى انــواع داروهــا (رایگان) 🖤
@pharrm_2018 · 30,032
26 posts
فارماکولوژی
@daruu_2020 · 33,052
21 posts
لب‌تل نیازمندی آزمایشگاه‌های ایران
@LabTel · 28,993
12 posts
پرستار نمونه
@parastar_nemoneh · 26,752
11 posts
👨‍⚕️صفر تا صد بالین_درمان⁦👩‍⚕️⁩
@balin_darman · 15,143
7 posts
💉داروشناسی بالینی💊
@clinicalfarma · 16,283
7 posts
دانش پرستاری
@daneshe_parastari · 18,882
7 posts
فوریتهای پزشکی
@foryatepezeshki · 15,618
7 posts
ژورنال آکادمیک
@journalacademic · 26,504
7 posts
💊 مدیـــــفــــــــــارم 💊
@medi_pharm · 17,877
7 posts
MediPoints
@medipoints · 75,428
7 posts
🍏 داروخانه‌ی من ❤️
@MydrugStoree · 17,790
7 posts
کانال نسخه های تمرینی
@NoskheHayeTamrini · 12,175
7 posts
مرجع فایل و کلیپ آموزشی بالینی
@balini_info · 8,847
6 posts
Tiptop nurses(TUMS)
@Bank_jozve_nurse · 13,074
6 posts
نکات مهم اورژانس🚑
@EmergencyNursee · 12,471
6 posts
كانال اموزش خواندن نسخ دورهمي
@noskhekhanidorehami · 19,750
6 posts
👨‍⚕کافه پرستاری و مامایی👩‍⚕️
@nurse_midwifery · 8,790
6 posts
بانک سوالات
@nursettt · 15,848
6 posts
دهکده PDF🖤
@PDFFILLE · 12,195
6 posts
Nurse.facts
@nursefacts · 10,784
5 posts
دهکده پرستاری
@nursing73channel · 14,214
5 posts
تیم پرستاری:مامایی🖤
@pdf_nursmid · 9,490
5 posts
🏨 پراتیک و بیمارستان
@peratical · 10,907
5 posts

Names

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

آمادگی ارشد پرستاری
@arshad_org · 6,668
7 posts
مرجع فایل و کلیپ آموزشی بالینی
@balini_info · 8,847
7 posts
💉داروشناسی بالینی💊
@clinicalfarma · 16,283
7 posts
آمادگی RN پرستاری
@med_RN_test · 5,487
7 posts
👨‍⚕کافه پرستاری و مامایی👩‍⚕️
@nurse_midwifery · 8,790
7 posts
Nurse Line | نِرس لاین
@Nursing1404 · 4,148
7 posts
📘Nursing Academy learning Center📘
@NursingAcademy2016 · 7,064
7 posts
🏨 پراتیک و بیمارستان
@peratical · 10,907
7 posts
🤕 آکـــســـار 🤕
@Axar404 · 4,067
6 posts
اخبار وزارت بهداشت
@behdasht_khabar1 · 3,071
6 posts
فارماکولوژی
@daruu_2020 · 33,052
6 posts
نکات مهم اورژانس🚑
@EmergencyNursee · 12,471
6 posts
نکات کلیدی ارشد پرستاری
@Golde_Nursing_Tips · 6,817
6 posts
👩‍🍼مامایی و اطفال👼
@mamaniniya · 7,217
6 posts
من پرستارم
@man_parastaram · 6,886
6 posts
نیازمندیهای فارماسی
@niaz_pharmacy · 5,820
6 posts
کانال نسخه های تمرینی
@NoskheHayeTamrini · 12,175
6 posts
Nurse.facts
@nursefacts · 10,784
6 posts
بانک سوالات
@nursettt · 15,848
6 posts
دهکده پرستاری
@nursing73channel · 14,214
6 posts
فایل های پرستاری و مامایی🖤
@nursing_pdf99 · 9,803
6 posts
پرستار نمونه
@parastar_nemoneh · 26,752
6 posts
تیم پرستاری:مامایی🖤
@pdf_nursmid · 9,490
6 posts
👈 فــــــــارمــــــــاســـــــی 👉
@PHARMA_30 · 8,624
6 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.

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.

دانش پرستاری
@daneshe_parastari · 18,882
Telegram ranks this channel #31 of 92 here — alongside 91 others — read 5 October 2026
فایل های علوم پزشکی 📚PDF
@MedicalFile · 31,495
Telegram ranks this channel #40 of 93 here — alongside 92 others — read 6 September 2026
بانک PDF پزشکی📚
@PDFbankdaro · 32,291
Telegram ranks this channel #44 of 94 here — alongside 93 others — read 5 September 2026
نسـخه خــوانى و معــرفى انــواع داروهــا (رایگان) 🖤
@pharrm_2018 · 30,032
Telegram ranks this channel #51 of 84 here — alongside 83 others — read 8 September 2026
Lab_science
@Lab_science · 19,908
Telegram ranks this channel #54 of 86 here — alongside 85 others — read 30 September 2026
فایل پرستاری | Parastari98B
@Parastari98B · 41,023
Telegram ranks this channel #70 of 94 here — alongside 93 others — read 31 August 2026

This channel appears in 6 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.

“پزشکی_سرای_دانشجو” (@psarayedaneshjo), 10,163 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/psarayedaneshjo.

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.