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Channel

Clinical Notes

@Clinical_Notes

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

40,288subscribers

+964 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001214496774
TypeChannel
Username@Clinical_Notes
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/Clinical_Notes

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 93% 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 3 other registered channels. This entry also sits inside a group of 8 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
@Clinical_Notes/5491 · this entry31 Aug 2026, 19:03 UTC@mgcp_1/25 Sept 2026, 14:38 UTC1.005 days
@Clinical_Notes/5497 · this entry3 Sept 2026, 16:35 UTC@mgcp_1/35 Sept 2026, 14:38 UTC1.0046 hours
@Clinical_Notes/5500 · this entry4 Sept 2026, 16:46 UTC@mgcp_1/55 Sept 2026, 14:38 UTC1.0022 hours
@mgcp_1/76 Sept 2026, 15:28 UTC@Clinical_Notes/5502 · this entry6 Sept 2026, 16:28 UTC1.0060 minutes
@mgcp_1/86 Sept 2026, 17:16 UTC@Clinical_Notes/5503 · this entry6 Sept 2026, 17:19 UTC1.003 minutes
@mgcp_1/106 Oct 2026, 17:37 UTC@Clinical_Notes/5578 · this entry6 Oct 2026, 17:47 UTC1.0010 minutes
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
@mgcp_111 (8/8 hand-verifiable sample passed)1.0050 minutes@mgcp_1 (6–5)
@medinf49 (8/8 hand-verifiable sample passed)1.0048 hoursthis entry (9–0)
@note_medcial5 (5/5 hand-verifiable sample passed)1.0042 hoursthis entry (5–0)

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. 5 of the 5 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 142 comparable posts for this entry, running 30 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 8 channels, the one whose matching posts we hold earliest is @OmarAlsubari. 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 8 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

39,30740,29139,7996 August 2026 — 39,324 subscribers6 August 2026 — 39,324 subscribers7 August 2026 — 39,323 subscribers8 August 2026 — 39,317 subscribers9 August 2026 — 39,311 subscribers10 August 2026 — 39,307 subscribers11 August 2026 — 39,315 subscribers12 August 2026 — 39,321 subscribers13 August 2026 — 39,319 subscribers14 August 2026 — 39,326 subscribers16 August 2026 — 39,334 subscribers17 August 2026 — 39,347 subscribers18 August 2026 — 39,344 subscribers19 August 2026 — 39,342 subscribers20 August 2026 — 39,360 subscribers23 August 2026 — 39,361 subscribers25 August 2026 — 39,363 subscribers26 August 2026 — 39,361 subscribers27 August 2026 — 39,360 subscribers29 August 2026 — 39,366 subscribers30 August 2026 — 39,364 subscribers1 September 2026 — 39,363 subscribers2 September 2026 — 39,360 subscribers3 September 2026 — 39,358 subscribers4 September 2026 — 39,368 subscribers7 September 2026 — 39,388 subscribers10 September 2026 — 39,386 subscribers12 September 2026 — 39,387 subscribers14 September 2026 — 39,378 subscribers15 September 2026 — 39,369 subscribers18 September 2026 — 39,371 subscribers28 September 2026 — 39,344 subscribers5 October 2026 — 39,425 subscribers9 October 2026 — 39,462 subscribers13 October 2026 — 39,829 subscribers14 October 2026 — 39,865 subscribers15 October 2026 — 39,881 subscribers16 October 2026 — 39,898 subscribers17 October 2026 — 39,924 subscribers18 October 2026 — 39,931 subscribers19 October 2026 — 39,936 subscribers20 October 2026 — 40,003 subscribers22 October 2026 — 40,039 subscribers23 October 2026 — 40,061 subscribers24 October 2026 — 40,079 subscribers25 October 2026 — 40,090 subscribers26 October 2026 — 40,097 subscribers27 October 2026 — 40,114 subscribers29 October 2026 — 40,111 subscribers30 October 2026 — 40,113 subscribers31 October 2026 — 40,119 subscribers1 November 2026 — 40,123 subscribers2 November 2026 — 40,120 subscribers3 November 2026 — 40,118 subscribers4 November 2026 — 40,249 subscribers5 November 2026 — 40,269 subscribers6 November 2026 — 40,285 subscribers8 November 2026 — 40,291 subscribers9 November 2026 — 40,281 subscribers11 November 2026 — 40,288 subscribers40,2886 August 202611 November 2026
60 measurements spanning 96 days, net +964. 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 39,159–40,439 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
11 Nov 2026, 01:1140,288+7
9 Nov 2026, 12:1740,281-10
8 Nov 2026, 01:0940,291+6
6 Nov 2026, 20:1540,285+16
5 Nov 2026, 19:4740,269+20
4 Nov 2026, 17:3840,249+131
3 Nov 2026, 15:2740,118-2
2 Nov 2026, 14:4840,120-3
1 Nov 2026, 15:4540,123+4
31 Oct 2026, 16:2740,119+6
30 Oct 2026, 13:2740,113+2
29 Oct 2026, 11:0140,111-3
27 Oct 2026, 05:0140,114+17
26 Oct 2026, 04:3140,097+7
25 Oct 2026, 06:0140,090+11
24 Oct 2026, 04:2840,079+18
23 Oct 2026, 05:5140,061+22
22 Oct 2026, 03:1940,039+36
20 Oct 2026, 21:2840,003+67
19 Oct 2026, 22:4639,936first reading

Engagement

249 posts held, back to 30 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 182 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.97%
avg views ÷ 40,288 subscribers
Avg views / post
2,400
72 posts measured
Reaction rate
0.539%
reactions ÷ views · ER floor
Posts in window
72
of 249 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 71 of 72 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 held249 (30 July 2026 – 10 November 2026)
Views total173,048
Reactions total921
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 22:12 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

Video runtime
1m 25s
Average length
43s

Measured directly from 2 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

3,227 reactions across 245 posts, in 15 distinct kinds. The most used accounts for 54.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,74954.2%
🔥58118.0%
👍2557.90%
😍1905.89%
🤣1625.02%
👏1574.87%
❤‍🔥601.86%
💯190.589%
🎉170.527%
🤩120.372%
🤔80.248%
🫡70.217%
🆒60.186%
💊20.062%
😢20.062%

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 245 of the 249 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 3,227 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 249 most recent posts we hold, published 30 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: 7 of 72 posts held from the last 30 days (9.72%) 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, 18:56 UTC444 views8 reactionsread 10 November 2026
Photo

🛑 nocturnal erections

❤5🔥2👍1

Signed Salah Mansour

10 Nov 2026, 18:26 UTC574 views11 reactionsread 10 November 2026
Photo

🛑🛑 H. pylori Testing – Medication Washout

❤7👍2🔥2

Signed Salah Mansour

10 Nov 2026, 16:18 UTC840 views10 reactionsread 10 November 2026
Photo

⚠️ إجابة الذكاء الاصطناعي قد تبدو علمية ومقنعة… لكنها ليست بالضرورة صحيحة! 🧠 تخيّل أن تسأل أحد أدوات الذكاء الاصطناعي عن جرعة دواء لمريض يعاني من قصور كلوي، فتحصل على إجابة مرتبة ومراجع علمية، وتبدو واثقًا من صحتها. هل هذا يكفي لاتخاذ القرار؟ بالتأكيد لا. في المجال الطبي والصيدلاني، المشكلة ليست فقط في الحصول على المعلومة، بل في التأكد من صحتها ومدى ملاءمتها للمريض. قبل الاعتماد على أي معلومة دوائية ناتجة عن الذكا…

❤4👍2👏2🔥2

Signed Massoud Kh. Rassam

8 Nov 2026, 16:58 UTC≈1,280 views12 reactionsread 10 November 2026
File

🩺 Yemen Medical Reference PRO 🇾🇪 التطبيق الطبي الأول في اليمن لأطباء الامتياز والأطباء العموم والممارسين الصحيين! 📚 مرجعك الطبي في تطبيق واحد! اكتشف مجموعة من الأدوات والمراجع الطبية التي تساعدك في الوصول إلى المعلومات بسهولة، ومنها: 💊 مكتبة تضم أكثر من 4,500 دواء شائع في اليمن. 🔎 البحث عن الأدوية والأمراض والمعلومات الطبية. 🩺 أقسام متنوعة للأمراض والحالات الطبية والطوارئ. 📋 وصفات طبية جاهزة لمختلف الحالات والتخصصات.…

❤8🔥3👍1

Signed Massoud Kh. Rassam

6 Nov 2026, 19:43 UTC≈1,950 views12 reactionsread 10 November 2026
Photo

كتاب MGCP الحمدلله وصل الى الهدف الي كنت أريد انه يفيد اكبر عدد ممكن الحمدلله شفت ثمرة تعب السنين 🌹 #ملاحظة متوفر في مكتبة دار الثقافة العصرية صنعاء وعدة نقاط منها الدائري والاصبحي واب وذمار ويتم التوصيل مجان الى أغلب مناطق صنعاء، رقم المؤلف +967771643488 رقم تواصل المكتبة لتوصيل +967772608622 سعر الكتاب 2500 ريال يمني

❤9🔥2😍1

Signed Massoud Kh. Rassam

6 Nov 2026, 15:02 UTC≈1,820 views14 reactionsread 10 November 2026
Photo

🛑 Vitamin D3 – Dose & Response

❤11🔥2👍1

Signed Salah Mansour

6 Nov 2026, 14:10 UTC≈1,850 views12 reactionsread 10 November 2026
Photo

🛑Heart Failure: Wet vs. Dry – Optimizing GDMT

❤8🔥2👏1🤔1

Signed Salah Mansour

6 Nov 2026, 13:50 UTC≈1,810 views9 reactionsread 10 November 2026
Photo

🛑combined hormonal contraception contraindications

🔥6❤2👍1

Signed Salah Mansour

6 Nov 2026, 13:10 UTC≈1,660 views10 reactionsread 10 November 2026
Photo

🛑Vitamin D and nephrolithiasis

❤6👏2🔥2

Signed Salah Mansour

5 Nov 2026, 23:12 UTC≈1,860 views21 reactionsread 10 November 2026
Photo

🛑 gabapentin

❤10🔥10👍1

Signed Salah Mansour

5 Nov 2026, 23:01 UTC≈1,810 views12 reactionsread 10 November 2026
Photo

🛑 levetiracetam and blood pressure

😍10❤1👍1

Signed Salah Mansour

5 Nov 2026, 22:59 UTC≈1,820 views17 reactionsread 10 November 2026

#remember ✅Levetiracetam requires renal adjustment, while brivaracetam requires hepatic adjustment

❤11🔥5👍1

Signed Salah Mansour

Showing the 12 most recent of 249 posts we hold for @Clinical_Notes. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 13 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.

Names

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

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.

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Medical@ NNA
@NizomovN · 2,686
#61
Emergency medicine updates
@Emergency_medicine_Updates · 18,541
#62
Gynecology and obstetrics
@gyob36 · 2,499
#63
MedStudy Videos
@MedStudyVideos · 15,824
#64
MEDSCAPE Medical News
@MEDSCAPEnews · 17,860
#65
Internal Medicine - Medicina Interna
@loacro01 · 30,967
#66
GROUP A SUMMARIES 38
@SUMMARIESsS · 1,277
#67
(Cardiothoracic) Anaesthesia and ICU (cardiac)
@Cardiac_Anaesthesia · 8,818
#68
Internal Medicine Residents
@intmed_tash · 5,180
#69
INTERNAL MEDICINE BOARD REVIEW
@INTERNALMEDICINEBOARD · 14,076
#70
Hakimed: Medical Resources
@HakimApps_Guideline · 34,106
#71
The ICU Channel by ESBICM
@theicuchannel · 13,549
#72
الصيدلاني عبدالناصر عارف منصر
@Abd739457931 · 5,352
#73
Dr Alaa Fathy Elsaid, Critical Care, MD
@alaafathyelsaid · 4,848
#74
دفـــــعـــــ37ــــــة-طب بشري-جامعة صنعاء
@batch37ABC · 4,071
#75
Hamdi’s pulmonary channel
@RespiratoryChest · 3,030
#76
Neurology
@neropsychtel · 8,201
#77
GiT Updates and More
@gitupdates · 5,495
#78
CXR (Chest X-Ray) Cases
@CXRcases · 12,099
#79

Read from Telegram’s recommendation API, most recently 30 August 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.

Dr. Waleed Al-Sibakhi
@Dr_Waleed_Al_Sibakhi · 50,529
Telegram ranks this channel #5 of 93 here — alongside 92 others — read 25 August 2026
PDFology
@PDFology · 65,730
Telegram ranks this channel #7 of 77 here — alongside 76 others — read 20 August 2026
يوميات صيدلاني💊💉
@Waelology2025 · 77,928
Telegram ranks this channel #9 of 87 here — alongside 86 others — read 21 August 2026
Al-Azhar Assiut Medical School
@AlAzharAssiutMedicalSchool · 26,705
Telegram ranks this channel #16 of 73 here — alongside 72 others — read 13 September 2026
MBFD2018
@mbfd2018 · 77,703
Telegram ranks this channel #17 of 64 here — alongside 63 others — read 21 August 2026
"لعلي أفيدك" Clinical discussion
@l3lee_afeedk · 26,472
Telegram ranks this channel #21 of 67 here — alongside 66 others — read 12 September 2026
Family Physician
@FamilyPhysician_1 · 28,429
Telegram ranks this channel #22 of 75 here — alongside 74 others — read 10 September 2026
Pharmacist Guide
@pharmacistG · 27,356
Telegram ranks this channel #25 of 76 here — alongside 75 others — read 11 September 2026
Egyptian Board official channel البورد المصري
@egyfellowofficalchannel · 69,422
Telegram ranks this channel #31 of 76 here — alongside 75 others — read 20 August 2026
Oxford Handbooks
@Oxfordhandbookk · 21,712
Telegram ranks this channel #34 of 74 here — alongside 73 others — read 26 September 2026
Clinical Practice guidelines
@ClinicalPharmGuideline · 62,629
Telegram ranks this channel #34 of 78 here — alongside 77 others — read 22 August 2026
internal medicine
@easymedicine7 · 29,529
Telegram ranks this channel #59 of 73 here — alongside 72 others — read 8 September 2026
تلخيصات طبية
@talkesattebia · 58,701
Telegram ranks this channel #66 of 83 here — alongside 82 others — read 22 August 2026

This channel appears in 13 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Clinical Notes” (@Clinical_Notes), 40,288 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/Clinical_Notes.

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.