Channel
@lmedical_su_usf_42
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
1,941subscribers
+58 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002045988331 |
|---|---|
| Type | Channel |
| Username | @lmedical_su_usf_42 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/lmedical_su_usf_42 |
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 16 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 07:58 | 1,941 | +8 |
| 15 Sept 2026, 04:59 | 1,933 | +2 |
| 11 Sept 2026, 03:19 | 1,931 | +2 |
| 6 Sept 2026, 14:20 | 1,929 | +4 |
| 2 Sept 2026, 06:52 | 1,925 | +7 |
| 30 Aug 2026, 05:04 | 1,918 | -5 |
| 27 Aug 2026, 05:04 | 1,923 | +5 |
| 23 Aug 2026, 18:24 | 1,918 | +7 |
| 19 Aug 2026, 21:12 | 1,911 | +8 |
| 16 Aug 2026, 14:23 | 1,903 | -1 |
| 13 Aug 2026, 00:27 | 1,904 | +9 |
| 9 Aug 2026, 17:02 | 1,895 | +11 |
| 6 Aug 2026, 11:41 | 1,884 | +1 |
| 6 Aug 2026, 06:36 | 1,883 | no change |
| 5 Aug 2026, 23:03 | 1,883 | first reading |
22 posts held, back to 1 August 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 22 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
524 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 77.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 405 | 77.3% | |
| 🔥 | 64 | 12.2% | |
| 👏 | 41 | 7.82% | |
| 🫡 | 14 | 2.67% |
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 22 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 611 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 1 August 2026 to 6 August 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.
اللَّهُمَّ صَلِ عَلَى مُحَمَّدٍ، وَعَلَى آلِ مُحَمَّدٍ، كَمَا صَلَّيْتَ عَلَى آلِ إِبْرَاهِيمَ، وَبَارِكْ عَلَى مُحَمَّدٍ، وَعَلَى آلِ مُحَمَّدٍ، كَمَا بَارَكْتَ عَلَى آلِ إِبْرَاهِيمَ، إِنَّكَ حَمِيدٌ مَجِيدٌ ﷺ. اللهم أنت ربي لا إله إلا أنت، خلقتني وأنا عبدك وأنا على عهدك ووعدك ما استطعت، أعوذ بك من شر ما صنعت، أبوء لك بنعمتك عليّ وأبوء لك بذنبي، فاغفر لي فإنه لا يغفر الذنوب إلا أنت 🤍.
❤🔥20🔥1
Signed -رَغَد الأُسْطَـى.
•📌 السلام عليكم ورحمة الله. من يتذكر اسئلة من اختبار اليوم، لطفًا إرسالها عبر بوت اللجنة : @Medicine_42_bot
🔥7
Signed Mohammed Wadhah
العشرة المراكز، في المسابقة العلمية الثالثة للدفعة 42, مادة pathology ❤️🔥 : • 106 شخص خاضوا الاختبار، في مدة نصف ساعة 🥇رِناد هزبر 🥈M.U 🥉M..M 4.مارية الشرعبي 4.عيسى 5.مريم البدوي 6.دعاء بشير 6.هياف الشوكي 7.ردمان الشيباني 7.محمد الجرباني 8.أريج الهجيني 8. أسماء الحاج 8.سمر الحكيمي 9.محمد القحطاني 9.محمد السواري 10.سالم الكريت #المسابقة_الثالثة #اللجنة_العلمية_دفعـ42ـة⚡️
❤🔥13🔥7🫡1
Signed Mohammed Wadhah
الحاصلة على المركز الأول في المسابقة العلمية الثالثة للدفعة 42, مادة Pathology : الطالبة / رِناد هزبر 🔥🔥🔥🔥.
❤🔥21
Signed Mohammed Wadhah
إعلان وتحذير هام وعاجل إلى جميع طلبة المستوى الثالث – طب بشري، بناءً على توجيهات عمادة الكلية، ونظراً لما لوحظ من ارتفاع نسبة الغياب غير المبرر والتهاون في الالتزام بحضور المحاضرات، والذي تجلى بشكل واضح في محاضرة مادة الفارما المنعقدة هذا اليوم، وانطلاقاً من أهمية الانضباط الأكاديمي باعتباره أحد الركائز الأساسية للعملية التعليمية، فقد تقرر ما يلي: أولاً: اعتماد خصم خمس (5) درجات من درجات أعمال السنة في مادة الفارم…
🫡3
Signed Mohammed Wadhah
• السلام عليكم ورحمة الله. • الزملاء والزميلات الكرام في الدفعة ٤٢، ثالث مسابقة ستكون الليلة إن شاء الله في تمام الساعة 10:00 مساءًا، لمدة نصف ساعة. • عدد الأسئلة : ٣٠ سؤال. • المقرر: Pathology ( Cell Injury,inflammation& Repair, infection& immunity) • قناة المسابقة : قناة النماذج MCQs. ننوه إلى أنه سيتم اختيار ١٠ فائزين، وتكريم الفائز الأول بشهادة تحت اشراف اللجنة العلمية المركزية بإذن الله 🔥. وفقكم الله 🤍. …
❤🔥9🔥3🫡3
Signed Mohammed Wadhah
╭━═══════❖✦❖═══════━╮ بِـسْــمِ اللّٰــهِ الرَّحمٰـــنِ الرَّحِـيــمِ ••✦🥼 الـدفـعــة 𝟜𝟚 🥼✦•• ╰━═══════❖✦❖═══════━╯ • ◉ | المحاضرة الأولى | : •▪️المادة : Pharmacology •▫️د.المادة : د. خالد الحميضة •▪︎| تــم دراســة | : - anti-histamine drugs - anti-serotonin ━━━━━━━━━━━━━━━ • ◉ | المحاضرة الثانية | : •▪️المادة : Parasitology •▫️د.المادة : د.صلاح القباطي •▪︎…
❤🔥1
Signed Mohammed Wadhah
يا طَالِبَ العِلم! تعلَّمْ فقهَ الاستدراكِ؛ فلا تجلِسْ شاكيًا ما فاتَك، نادِمًا علىٰ ما فرَّطت، فـتقعُدَ مع القاعدينَ ترثي حالَك.. وإنّما كُن معَ المُستدرِكين، مَن فقِهوا قيمةَ أوقاتِهم، وعِظَمَ المسؤوليةِ علىٰ عاتِقِهم، فـشَمَّروا عن ساعدِ الجِدِّ، واستعانوا باللّٰه علىٰ أنفُسِهم وعلىٰ العقباتِ في طريقِهم.. من يستغفرونَ علىٰ ما مضَىٰ من تَقصيرِهم، لكنّهم يُعاهدونَ اللّٰهَ كلَّ يومٍ علىٰ المُضيِّ قُدُمًا في استدراكٍ…
❤🔥34🔥3🫡3
Signed -رَغَد الأُسْطَـى.
╭━═══════❖✦❖═══════━╮ بِـسْــمِ اللّٰــهِ الرَّحمٰـــنِ الرَّحِـيــمِ ••✦🥼 الـدفـعــة 𝟜𝟚 🥼✦•• ╰━═══════❖✦❖═══════━╯ • ◉ | المحاضرة الأولى | : •▪️المادة : Pathology •▫️د.المادة : د.آدم الصرمي •▪︎| تــم دراســة | : - Pathogenesis of cancer ━━━━━━━━━━━━━━━ • ◉ | المحاضرة الثانية | : •▪️المادة :(Immunology)Microbiology •▫️د.المادة : د.بلقيس الحريبي •▪︎| تــم دراســ…
❤🔥2🔥1
Signed Mohammed Wadhah
╭━═══════❖✦❖═══════━╮ بِـسْــمِ اللّٰــهِ الرَّحمٰـــنِ الرَّحِـيــمِ ••✦🥼 الـدفـعــة 𝟜𝟚 🥼✦•• ╰━═══════❖✦❖═══════━╯ • ◉ | المحاضرة الأولى | : •▪️المادة : Pharmacology •▫️د.المادة : د.مجدي الصماط •▪︎| تــم دراســة | : - Diuretics ━━━━━━━━━━━━━━━ • ◉ | المحاضرة الثانية | : •▪️المادة :طب مجتمع •▫️د.المادة : د. منصور التاج •▪︎| تــم دراســة | : - Environmental f…
❤🔥5
Signed Mohammed Wadhah
╭━═══════❖✦❖═══════━╮ بِـسْــمِ اللّٰــهِ الرَّحمٰـــنِ الرَّحِـيــمِ ••✦🥼 الـدفـعــة 𝟜𝟚 🥼✦•• ╰━═══════❖✦❖═══════━╯ • ◉ | المحاضرة الأولى | : •▪️المادة : Pathology •▫️د.المادة : د.آدم الصرمي •▪︎| تــم دراســة | : -Carcinogensis وصولاً إلى Malignancies ━━━━━━━━━━━━━━━ • ◉ | المحاضرة الثانية | : •▪️المادة :Microbiology •▫️د.المادة : د.حسن الشماحي •▪︎| تــم دراســة…
❤🔥3
Signed Mohammed Wadhah
✨🔥✨🔥✨🔥✨🔥✨🔥✨🔥✨🔥✨🔥✨🔥✨🔥🔥✨🔥✨🔥✨🔥✨ تتقدم اللجنة العلمية المركزية بتهنئة كافة أوائل الدفعة 42، وبكل فخر وامتنان نخص بالتهنئة والمباركة ✨ أوائل اللجنة العلمية لدفعة42 طب بشري✨ من أخذوا نصيب الأسد في كشف الأوائل وأثبتوا أن صدارتهم في التحصيل الأكاديمي ليست أفضل مافيهم بل وتميزوا عن غيرهم من الأوائل بروح المبادرة وتسخير وقتهم لخدمة جميع الطلاب : 1.سما أديب شمسان _ الأولى _ رئيسة ( دائرة المايكرو) ، عضو دائرة ( الباثو_الم…
❤🔥27🔥6👏5
Signed Mohamed Aljunaid
Showing the 12 most recent of 22 posts we hold for @lmedical_su_usf_42. 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.
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.
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“🔰 اللجنة العلمية للدفعة 42 - طب بشري - جامعة صنعاء” (@lmedical_su_usf_42), 1,941 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/lmedical_su_usf_42.
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.