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Channel

MMM..(medical Mnemonics & maps)

@medicalmindmaps

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

8,144subscribers

-62 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001283620145
TypeChannel
Username@medicalmindmaps
Descriptionخرائط ذهنية للمواد الطبية . "EVERYTHING SHOULD BE MADE AS SIMPLE AS POSSIBLE, BUT NOT SIMPLER."
CreatedBetween 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/medicalmindmaps

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.

Growth

8,1258,2308,177.57 August 2026 — 8,206 subscribers7 August 2026 — 8,206 subscribers8 August 2026 — 8,199 subscribers11 August 2026 — 8,193 subscribers14 August 2026 — 8,214 subscribers17 August 2026 — 8,211 subscribers20 August 2026 — 8,217 subscribers23 August 2026 — 8,223 subscribers27 August 2026 — 8,230 subscribers30 August 2026 — 8,224 subscribers1 September 2026 — 8,215 subscribers6 September 2026 — 8,204 subscribers11 September 2026 — 8,208 subscribers14 September 2026 — 8,215 subscribers19 September 2026 — 8,201 subscribers29 September 2026 — 8,166 subscribers6 October 2026 — 8,147 subscribers13 October 2026 — 8,141 subscribers16 October 2026 — 8,135 subscribers18 October 2026 — 8,128 subscribers21 October 2026 — 8,125 subscribers24 October 2026 — 8,126 subscribers28 October 2026 — 8,136 subscribers30 October 2026 — 8,146 subscribers6 November 2026 — 8,144 subscribers8,1447 August 20266 November 2026
25 measurements spanning 90 days, net -62. 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 8,109–8,246 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
6 Nov 2026, 00:548,144-2
30 Oct 2026, 22:098,146+10
28 Oct 2026, 02:188,136+10
24 Oct 2026, 20:218,126+1
21 Oct 2026, 19:408,125-3
18 Oct 2026, 17:018,128-7
16 Oct 2026, 00:418,135-6
13 Oct 2026, 05:118,141-6
6 Oct 2026, 16:558,147-19
29 Sept 2026, 21:028,166-35
19 Sept 2026, 15:578,201-14
14 Sept 2026, 21:388,215+7
11 Sept 2026, 18:178,208+4
6 Sept 2026, 21:208,204-11
1 Sept 2026, 21:488,215-9
30 Aug 2026, 04:458,224-6
27 Aug 2026, 00:158,230+7
23 Aug 2026, 22:288,223+6
20 Aug 2026, 05:558,217+6
17 Aug 2026, 10:548,211first reading

Engagement

24 posts held, back to 16 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 32 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.57%
avg views ÷ 8,144 subscribers
Avg views / post
210
3 posts measured
Reaction rate
0.298%
reactions ÷ views · ER floor
Posts in window
3
of 24 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 1 of 3 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 8 November 2026
Posts held24 (16 July 2026 – 8 November 2026)
Views total629
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 13:04 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
≈4,380
Videos
≈89
Links
≈1,830

Lifetime counters from Telegram’s own channel header, read 8 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.

Reaction mix

17 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 82.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1482.4%
👍211.8%
👏15.88%

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 9 of the 24 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 16 July 2026 to 8 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: 0 of 3 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).

8 Nov 2026, 09:30 UTC76 viewsread 8 November 2026

https://youtube.com/shorts/dkzYnHlat9I?feature=share

Signed Saddam Hussien Humeid

7 Nov 2026, 03:19 UTC217 viewsread 8 November 2026

https://youtube.com/shorts/j2X55eyXIos?feature=share اعضاء القناة الكرام اذا تكرمتوا التفاعل مع الفديو و الاشتراك في القناة ونشره

Signed Saddam Hussien Humeid

6 Nov 2026, 12:51 UTC336 views1 reactionsread 8 November 2026

https://youtube.com/shorts/LHQZx_DJXro?feature=share

❤1

Signed Saddam Hussien Humeid

21 Sept 2026, 19:54 UTC≈1,150 views6 reactionsread 8 November 2026
Forwarded from @Med_withanothereye

تخيل أن شخصين استنشقا نفس الميكروب في نفس اللحظة بعد أيام، أحدهما طريح الفراش… والآخر يمارس يومه وكأن شيئاً لم يكن أو يتعافى بسرعة عالية كما حدث في تفشي كورونا مثلا نقول عادةً: "مناعته أقوى." بمعناها السطحي ولكن الأمر قد كُتب قبل أن نولد بآلاف السنين؟ عندما يدخل الميكروب جسمك، لا يبدأ الجهاز المناعي بالبحث عن اسمه.هناك مستشعرات فطرية نولد بها تُسمى (PRRs)، تلتقط أنماطاً وبصمات مميزة للميكروبات تُعرف بـ (PAMPs): ​P…

❤6

19 Sept 2026, 23:09 UTC619 viewsread 8 November 2026
Forwarded from @scientificCommittee_IbbUSFPhoto

Photo, posted without a caption

19 Sept 2026, 23:09 UTC963 viewsread 8 November 2026
Forwarded from @scientificCommittee_IbbUSF

📚 أمسية علمية حول متلازمة تكيس المبايض (PMOS) تُقيم اللجنة العلمية في الملتقى الطلابي – كلية الطب والعلوم الصحية أمسية علمية حول متلازمة تكيس المبايض وذلك من منظور علمي وتغذوي، مع تسليط الضوء على أهم الجوانب المرتبطة بالتشخيص والتغذية ونمط الحياة. 💡 محاور الأمسية: • التشخيص الدقيق وفهم متلازمة تكيس المبايض من منظور علمي. • التغذية العلاجية ودورها في إدارة مقاومة الإنسولين. • دور نمط الحياة في تحسين الحالة ودعم الخط…

19 Sept 2026, 17:03 UTC662 viewsread 8 November 2026
Forwarded from @Med_withanothereyePhoto

Pharmacology 🧪 درسنا أن الـOrganophosphates تثبط إنزيم Acetylcholinesterase (AChE)، فيتراكم الـAcetylcholine، وقد تظهر أعراض التسمم الكوليني. والمعلومة قد تكون أقرب لنا مما نتوقع، فقد وثقت دراسات في اليمن استخدام مبيدات حشرية على القات، ومن بينها Parathion، وهو من الـOrganophosphates. كما وجدت دراسة أُجريت على متعاطي القات في المناطق الجبلية اليمنية أن تناول القات المزروع مع الاستخدام المنتظم للمبيدات ارتبط بزيادة…

17 Sept 2026, 00:42 UTC643 views0 reactionsread 8 November 2026
Forwarded from @Med_withanothereyePhoto

Photo, posted without a caption

17 Sept 2026, 00:42 UTC747 viewsread 8 November 2026
Forwarded from @Med_withanothereye

تأمل معي في المناعة!!! في هذا العالم، تحيط بنا ملايين الميكروبات المجهرية؛ كلٌّ منها يرتدي غلافًا وشفرةً لم يرَهما جسدك من قبل. ولو كان الجسد ينتظر وصول العدو ليبدأ بالتفكير في الخطة، لكانت كل إصابة هي الأخيرة. لكنّ الدهشة تبدأ من هنا… قبل أن تطأ قدمُك أرضَ هذه الحياة، وقبل أن تلتقي بأي ميكروب، يكون جهازك المناعي قد أعدّ العدّة مسبقًا. عبر عملية جينية متناهية الدقة تُعرف بـ V(D)J recombination، تتقاطع الجينات وتن…

10 Sept 2026, 17:33 UTC≈1,060 viewsread 8 November 2026
Forwarded from @DOCTOR_EMTIAS_21UMASPhoto

Photo, posted without a caption

Signed Dr.Malak HYL

10 Sept 2026, 17:33 UTC916 viewsread 8 November 2026
Forwarded from @DOCTOR_EMTIAS_21UMASPhoto

تعالو نتكلم شوية عن موضوع تساقط الشعر واسبابة؟

Signed Dr.Malak HYL

16 Aug 2026, 16:21 UTC≈1,110 viewsread 6 November 2026
Forwarded from @DOCTOR_EMTIAS_21UMASPhoto

Human body Functions

Signed Dr.Malak HYL

Showing the 12 most recent of 24 posts we hold for @medicalmindmaps. 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 1 post on @medicalmindmaps 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 November 2026
Most recent seen missing
7 November 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
1

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 3 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.

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.

تلخيصات طبية
@talkesattebia · 58,716
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 22 August 2026
تفريغات مواد طبية
@tafrighat · 47,310
Telegram ranks this channel #19 of 86 here — alongside 85 others — read 26 August 2026
مراجع و كتب و برامج طبية
@medicalrefrencess · 53,567
Telegram ranks this channel #23 of 83 here — alongside 82 others — read 24 August 2026
PDFology
@PDFology · 65,789
Telegram ranks this channel #23 of 77 here — alongside 76 others — read 20 August 2026
Medinternafacil 🤓🩺
@medinternafacil · 61,509
Telegram ranks this channel #70 of 76 here — alongside 75 others — read 22 August 2026
Internal Medicine | MW
@Medical_Patna · 47,570
Telegram ranks this channel #72 of 91 here — alongside 90 others — read 28 August 2026
Dr. Waleed Al-Sibakhi
@Dr_Waleed_Al_Sibakhi · 50,529
Telegram ranks this channel #78 of 93 here — alongside 92 others — read 25 August 2026

This channel appears in 7 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“MMM..(medical Mnemonics & maps)” (@medicalmindmaps), 8,144 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/medicalmindmaps.

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.