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Channel

Medical Pulse

@pulse_medicall

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Posts · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

6,811subscribers

-79 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001232445979
TypeChannel
Username@pulse_medicall
Descriptionیادگیری ۰_۱۰۰%گرافی CXR🎥🎞 مرور بیماری های شایع ایران ⁦🇮🇷⁩ مرورانواع پروسیجر ها مرورسوالات استخدامی مرور نکات زخم تبلیغ و تبادل @starh20 ابتدای کانال https://t.me/pulse_medicall/10
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/pulse_medicall

Topic

Education — 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 11 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 7 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
@nursefacts/1187116 Jun 2026, 21:05 UTC@pulse_medicall/19589 · this entry16 Jun 2026, 21:05 UTC1.00under a minute
@nursefacts/1187216 Jun 2026, 21:06 UTC@pulse_medicall/19590 · this entry16 Jun 2026, 21:06 UTC1.00under a minute
@nursefacts/1188224 Jun 2026, 09:02 UTC@pulse_medicall/19602 · this entry24 Jun 2026, 09:03 UTC1.00under a minute
@nursefacts/1191211 Jul 2026, 09:19 UTC@pulse_medicall/19624 · this entry11 Jul 2026, 09:19 UTC1.00under a minute
@nursefacts/1196027 Jul 2026, 13:29 UTC@pulse_medicall/19657 · this entry27 Jul 2026, 13:29 UTC1.00under a minute
@nursefacts/1217312 Oct 2026, 08:53 UTC@pulse_medicall/19846 · this entry12 Oct 2026, 08:53 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
@nursefacts12 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (8–4)
@man_parastaram8 (8/8 hand-verifiable sample passed)1.00under a minute@man_parastaram (5–3)
@tip_top_nurses7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (4–3)
@pharrm_20187 (7/7 hand-verifiable sample passed)1.00under a minute@pharrm_2018 (4–3)
@Bank_jozve_nurse5 (5/5 hand-verifiable sample passed)1.00under a minute@Bank_jozve_nurse (3–2)
@EmergencyNursee5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (4–1)
@medi_pharm5 (5/5 hand-verifiable sample passed)1.00under a minutethis 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. 13 of the 22 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 52 comparable posts for this entry, running 6 June 2026 to 11 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 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 12 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

6,8106,8916,850.56 August 2026 — 6,890 subscribers7 August 2026 — 6,891 subscribers10 August 2026 — 6,884 subscribers13 August 2026 — 6,880 subscribers16 August 2026 — 6,875 subscribers19 August 2026 — 6,867 subscribers22 August 2026 — 6,858 subscribers26 August 2026 — 6,861 subscribers29 August 2026 — 6,866 subscribers1 September 2026 — 6,856 subscribers5 September 2026 — 6,849 subscribers10 September 2026 — 6,841 subscribers14 September 2026 — 6,836 subscribers19 September 2026 — 6,839 subscribers28 September 2026 — 6,830 subscribers12 October 2026 — 6,839 subscribers14 October 2026 — 6,846 subscribers17 October 2026 — 6,851 subscribers20 October 2026 — 6,847 subscribers23 October 2026 — 6,838 subscribers26 October 2026 — 6,834 subscribers29 October 2026 — 6,831 subscribers1 November 2026 — 6,822 subscribers5 November 2026 — 6,818 subscribers8 November 2026 — 6,810 subscribers12 November 2026 — 6,811 subscribers6,8116 August 202612 November 2026
26 measurements spanning 98 days, net -79. 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 6,798–6,903 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
12 Nov 2026, 11:586,811+1
8 Nov 2026, 17:076,810-8
5 Nov 2026, 06:496,818-4
1 Nov 2026, 21:396,822-9
29 Oct 2026, 16:496,831-3
26 Oct 2026, 20:276,834-4
23 Oct 2026, 15:006,838-9
20 Oct 2026, 07:306,847-4
17 Oct 2026, 14:596,851+5
14 Oct 2026, 23:266,846+7
12 Oct 2026, 02:216,839+9
28 Sept 2026, 17:186,830-9
19 Sept 2026, 01:586,839+3
14 Sept 2026, 05:596,836-5
10 Sept 2026, 20:186,841-8
5 Sept 2026, 21:026,849-7
1 Sept 2026, 12:146,856-10
29 Aug 2026, 06:426,866+5
26 Aug 2026, 04:286,861+3
22 Aug 2026, 19:486,858first reading

Engagement

67 posts held, back to 6 June 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 30 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.92%
avg views ÷ 6,811 subscribers
Avg views / post
199
20 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
of 67 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 held67 (6 June 2026 – 11 November 2026)
Views total3,975
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 09:08 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
652
Videos
237
Links
67

Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
8m 51s
Average length
53s

Measured directly from 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 20 posts held from the last 30 days (0%) 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, 17:45 UTC18 viewsread 12 November 2026
Forwarded from @pharrm_2018

یک کارگاه با فرصت چاپ مقاله مشترک با استاد! برای همه دانشجوهای علوم پزشکی؛ همین الان کلمه «سیستماتیک ریویو» رو برای ادمین بفرست🩵 🌀@Pharmacy_Association_Admin

11 Nov 2026, 17:45 UTC9 viewsread 12 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…

11 Nov 2026, 14:40 UTC117 viewsread 14 November 2026

داروی لِوِتیراستام (Levetiracetam) نام تجاری: لِوِبل، کِپرا، مَت اِور دسته دارویی: ضد تشنج اشکال دارویی: قرص، آمپول، محلول خوراکی دوزهای دارویی: ۲۵۰، ۵۰۰، ۷۵۰ و ۱۰۰۰ میلی‌گرم مکانیسم: لوتیراستام با اتصال به گلیکوپروتئین وزیکولی سیناپسی SVZA باعث مهار کانال‌های کلسیمی نورون‌های مغزی شده و درنتیجه باعث اختلال در انتقال جریان میشه کاربرد: لوتیراستام برای درمان تشنج های میوکلونیک، تونیک-کلونیک و صرع پارشیال استفاده میشه…

10 Nov 2026, 19:41 UTC30 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…

10 Nov 2026, 12:20 UTC171 viewsread 14 November 2026

🌐اطلاعیه ثبت نام آزمون صلاحیت حرفه ای پرستاران نوبت دی ماه ۱۴۰۵ 🔴بر اساس اطلاعیه سایت سنجش پزشکی، مهلت ثبت نام سیزدهمین دوره آزمون صلاحیت حرفه ای پرستاری 1405 از تاریخ 3 آذر ماه آغاز می شود و تا 8 آذر ماه ادامه خواهد داشت. لذا، متقاضیانی که تمایل به ثبت نام در این آزمون را دارند می توانند با مراجعه به سامانه سنجش پزشکی به نشانی sanjeshp.ir، مراحل نام نویسی خود را تکمیل نمایند. ⏳ مهلت ثبت نام: از 3 تا 8 آذر ماه 1405…

9 Nov 2026, 11:27 UTC21 viewsread 9 November 2026

🚨 کانال جامع استخدامی و بالینی کادر درمان 🔹 آگهی‌های استخدام پرستاری، مامایی و اتاق عمل 🔹 اخبار لحظه‌ای آزمون استخدامی وزارت بهداشت 🔹 نکات طلایی مصاحبه‌های شغلی و بالینی @medjobpro

8 Nov 2026, 18:51 UTC33 viewsread 9 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…

7 Nov 2026, 11:14 UTC30 viewsread 7 November 2026

استخدام در بیمارستان ،داروخانه ها و آزمایشگاه های خصوصی و دولتی با بالاترین حقوق و مزایا @medjobpro

5 Nov 2026, 18:03 UTC18 viewsread 6 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…

5 Nov 2026, 18:03 UTC22 viewsread 6 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

5 Nov 2026, 17:27 UTC361 viewsread 14 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…

4 Nov 2026, 16:31 UTC10 viewsread 4 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

Showing the 12 most recent of 67 posts we hold for @pulse_medicall. 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 @pulse_medicall 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
8 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
35 hours
Seen missing in the last 30 days
4

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

23 Jul 2026, 12:07 UTCAnonymous Quiz96 voters

آتروپین چه نوع گیرنده‌ای را مهار می‌کند؟

  1. الف) نیکوتینی11%
  2. ب) موسکارینی51%
  3. ج) بتا-آدرنرژیک18%
  4. د) آلفا-آدرنرژیک20%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

13 Jun 2026, 07:49 UTCAnonymous Quiz193 voters

💊 اِسپارتینا نام تجاری کدوم دارو هست؟ (سطح سوال: متوسط)

  1. مِتفورمین21%
  2. تیرزِپاتاید79%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 67 most recent posts we hold, published 6 June 2026 to 11 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 47 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 · 30,025
17 posts
فارماکولوژی
@daruu_2020 · 33,076
11 posts
لب‌تل نیازمندی آزمایشگاه‌های ایران
@LabTel · 29,074
8 posts
ژورنال آکادمیک
@journalacademic · 26,494
6 posts
Tiptop nurses(TUMS)
@Bank_jozve_nurse · 13,080
5 posts
💊 مدیـــــفــــــــــارم 💊
@medi_pharm · 17,882
5 posts
MediPoints
@medipoints · 75,391
5 posts
دهکده PDF🖤
@PDFFILLE · 12,222
5 posts
👨‍⚕️صفر تا صد بالین_درمان⁦👩‍⚕️⁩
@balin_darman · 15,145
4 posts
مرجع فایل و کلیپ آموزشی بالینی
@balini_info · 8,850
4 posts
💉داروشناسی بالینی💊
@clinicalfarma · 16,291
4 posts
دانش پرستاری
@daneshe_parastari · 18,889
4 posts
فوریتهای پزشکی
@foryatepezeshki · 15,614
4 posts
بانک کتاب علوم پزشکی
@ketabepezeshki · 28,880
4 posts
🍏 داروخانه‌ی من ❤️
@MydrugStoree · 17,807
4 posts
کانال نسخه های تمرینی
@NoskheHayeTamrini · 12,191
4 posts
👨‍⚕کافه پرستاری و مامایی👩‍⚕️
@nurse_midwifery · 8,799
4 posts
بانک سوالات
@nursettt · 15,868
4 posts
پرستار نمونه
@parastar_nemoneh · 26,776
4 posts
نکات مهم اورژانس🚑
@EmergencyNursee · 12,476
3 posts
📍مـِدجاب‌پـرو [نیازمندی‌‌درمانی‌کشور]🩺
@medjobpro · 14,353
3 posts
كانال اموزش خواندن نسخ دورهمي
@noskhekhanidorehami · 19,736
3 posts
🏨 پراتیک و بیمارستان
@peratical · 10,919
3 posts
پزشکی_سرای_دانشجو
@psarayedaneshjo · 10,180
3 posts

Names

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

📍مـِدجاب‌پـرو [نیازمندی‌‌درمانی‌کشور]🩺
@medjobpro · 14,353
6 posts
دانش پرستاری
@daneshe_parastari · 18,889
4 posts
نکات مهم اورژانس🚑
@EmergencyNursee · 12,476
4 posts
من پرستارم
@man_parastaram · 6,889
4 posts
💊 مدیـــــفــــــــــارم 💊
@medi_pharm · 17,882
4 posts
Nurse.facts
@nursefacts · 10,809
4 posts
فایل های پرستاری و مامایی🖤
@nursing_pdf99 · 9,835
4 posts
تیم پرستاری:مامایی🖤
@pdf_nursmid · 9,490
4 posts
دهکده PDF🖤
@PDFFILLE · 12,222
4 posts
نسـخه خــوانى و معــرفى انــواع داروهــا (رایگان) 🖤
@pharrm_2018 · 30,025
4 posts
پزشکی_سرای_دانشجو
@psarayedaneshjo · 10,180
4 posts
آمادگی ارشد پرستاری
@arshad_org · 6,663
3 posts
مرجع فایل و کلیپ آموزشی بالینی
@balini_info · 8,850
3 posts
💉داروشناسی بالینی💊
@clinicalfarma · 16,291
3 posts
آمادگی RN پرستاری
@med_RN_test · 5,485
3 posts
👨‍⚕کافه پرستاری و مامایی👩‍⚕️
@nurse_midwifery · 8,799
3 posts
Nurse Line | نِرس لاین
@Nursing1404 · 4,164
3 posts
📘Nursing Academy learning Center📘
@NursingAcademy2016 · 7,085
3 posts
🏨 پراتیک و بیمارستان
@peratical · 10,919
3 posts
Tiptop nurses(TUMS)
@Bank_jozve_nurse · 13,080
2 posts
Cafejozve | کافه جزوه
@Cafejozve2024 · 4,752
2 posts
دکتر سلام
@DoctoorSalam · 3,408
2 posts
جامعهٔ پزشکان ایران | لینوم
@linomium · 11,138
2 posts
Pharmacy داروشناسی
@Pharmacy_med · 9,545
2 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.

" کاپلان و سادوک "
@KAPLAN_SADOCKS · 21,010
Telegram ranks this channel #34 of 83 here — alongside 82 others — read 25 September 2026
دانش پرستاری
@daneshe_parastari · 18,889
Telegram ranks this channel #39 of 92 here — alongside 91 others — read 5 October 2026
پرستار نمونه
@parastar_nemoneh · 26,776
Telegram ranks this channel #56 of 89 here — alongside 88 others — read 12 September 2026
علاقمندان به «دکتر آذرخش مکری»
@azarakhsh_mokrii · 24,498
Telegram ranks this channel #68 of 89 here — alongside 88 others — read 21 September 2026

This channel appears in 4 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Medical Pulse” (@pulse_medicall), 6,811 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/pulse_medicall.

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.