Channel
@DrMostafaKhalifa
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
5,084subscribers
+824 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002564905564 |
|---|---|
| Type | Channel |
| Username | @DrMostafaKhalifa |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/DrMostafaKhalifa |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 15 Sept 2026, 05:57 | 5,084 | +36 |
| 11 Sept 2026, 15:56 | 5,048 | +117 |
| 7 Sept 2026, 11:20 | 4,931 | +70 |
| 2 Sept 2026, 06:34 | 4,861 | +117 |
| 30 Aug 2026, 10:24 | 4,744 | +308 |
| 27 Aug 2026, 03:42 | 4,436 | +159 |
| 24 Aug 2026, 10:37 | 4,277 | +8 |
| 20 Aug 2026, 18:47 | 4,269 | +1 |
| 17 Aug 2026, 15:06 | 4,268 | +7 |
| 14 Aug 2026, 03:26 | 4,261 | -1 |
| 10 Aug 2026, 20:22 | 4,262 | +1 |
| 7 Aug 2026, 16:11 | 4,261 | +1 |
| 7 Aug 2026, 11:02 | 4,260 | first reading |
11 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 5 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 11 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
80 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 67.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 54 | 67.5% | |
| 👏 | 16 | 20.0% | |
| 🔥 | 4 | 5.00% | |
| 🥰 | 4 | 5.00% | |
| 😁 | 1 | 1.25% | |
| 🤩 | 1 | 1.25% |
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 8 of the 11 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 27 July 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.
عشان فى زملاء بيسالوا على باقي التخصصات فى تراك Fast الخاص بالتعلم والمشاركة للنشر الدولى :- *Neurology / Photobiomodulation* ده التيم الحالى لسه بيكون ٦ اشخاص *Critical Care Medicine & ICU & Anesthesiology & Pulmonary Care* الفكره دى فاضل فيها مكان لى ٤ اشخاص Cardio & Pharma فاضل مكان لى شخصين فقط Cardio & Renal مكان لى شخص واحد فقط Pure Cardiology فاضل مكان لى شخصين Orthopedic فاضل مكان لى ٣ اشخاص دمُتم …
❤3👏1
فاضل 6 اماكن في التيم سارع بالانضمام 🌹 دي بعض الفوائد لى تراك Fast Track 🎊 التراك الخاص بانك تدخل ورقة بحثية على طول under my supervision بتتعلم 2 tasks فقط وبتشتغلهم فى فكرة خاصة بالنشر الدولى على طول وبقيت التاسكات توزع على بقية الزملاء فى التيم بطريقة بسيطه 🏆🌹 🏆 هجاوب على اكثر الاسئلة تكرارا :- 👏 لو انت طالب تقدر تنضم حتى لو زيرو خبرة، شغلك Under My Supervision هتشتغل وهتتعلم تاسكين 🤝 لو شاركت فى كورسات كتير …
❤3🥰2
مرحبا يدكاترة بعد طول انتظار 🏅 For #Beginners الحمدلله هنفتح الانضمام لى Valid Idea جديدة تابع لى تراك Fast Track 🏆🎊 التخصص *Neurology / Photobiomodulation* الفكرة Trendy وحديثة فى الوسط العلمى 🌹 🌟 باذن الله بنكون التيم فى خلال 10 ايام ونبدا شغل على طول 🙏 🌟 لو ناوى تنشر اول paper وانت مبتدأ او خبير وحابب ت Secure Spot فى تراك الفاست جت الفرصة هنبدا هنخلص الورقة البحثية فى خلال شهرين بالتزامكم معايا بال Tasks 🌟 لو …
❤5
أعلن عن تخرج دفعة جديدة بنجاح من المنتورشيب الخاصة بدكتور مصطفى خليفة 𝐅𝐚𝐬𝐭 𝐓𝐫𝐚𝐜𝐤 🌹🏆 الورقة مميزة جدا لان First Author هو د عبدالله من كندا زميل عزيز بدء طريقه البحثي معايا المتدربين من مصر / كندا / بيروت /الإمارات / امريكا 🏆 رحلة مثمرة مليئة بالتعلم والانجاز ، ويسعدني أن أشارككم جزءًا من #التقييمات #الرائعة التي تلقيتها من المتدربين: ونتاج هذا الجهد المشترك عملنا 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧 بمجلة Hepatology - 𝐐𝟏 المرموقة! دعوات…
❤5👏3🔥1
KIMRA –Khalifa International Medical Research Academy pinned a photo
اللهم لك الحمد حمدا كثيرا طيبا مباركا فيه ❤️ تشرفت بأن أكون Speaker في: The 2nd Annual Meeting of IDCARE (Infectious Diseases Consultants and Academic Researchers of Egypt) تشرفت بلقاء دكتور مصطفى الفيشاوي، أحد أبرز الباحثين والأطباء المتخصصين في مجال الأمراض المعدية في مصر، ورئيس اللجنة العلمية لتخصص الأمراض المعدية بالرابطة المصرية للأمراض المعدية. قمت بتقديم إحدى الأوراق البحثية الخاصة بمجتمعنا البحثي، كما أعتز …
❤17🔥2🥰1
صباح الفل 🌹 بنسق PowerPoint لى ورقة بحثية بتاعتى عاوز حد مُبدع يقدر ينسقه خلال ٦ ساعات النهارده هديله كل instructions وامثله من شغلى السابق عشان يكون فاهم هيعمل اى هيكون عضو من التيم بتاعى .. تواصل معايا ورينى عينة من شغلك السابق
اللهم لك الحمد الورقة البحثية بتاعتنا فى تراك الفاست تم قبولها فى احد National Conferences فى مصر 🌹❤ The 2nd Annual Meeting of IDCARE (Infectious Diseases Consultants and Academic Researchers of Egypt) 📅 التاريخ : الجمعة 31 يوليو 2026 📍 المكان : أكاديمية الأميرة فاطمة – القاهرة ان شاء الله هيكون ليا Oral Presentation بداخل المؤتمر ولو حد منكم حابب يحضر ينور التسجيل عند الحضور 🌹❤ وطبعا فى شهادات للحضور نعم 🙏
❤14👏1🔥1🤩1🥰1
صباح الفل 🌹 ورقة بحثية فى تراك الفاست انتهت وعملنا لها Submission وقلت لى الزملاء اننا بنبحث عن International Or National Conferences عشان نرسل لها Abstract وتدخلوا بيها Competition بس انا حاطط Rule لى اى طالب او باحث معايا محدش يبعت لى مؤتمر إلا لما يبعتلى تفاصيله كاملة عشان فى Conferences كثيرة جدا بتصطاد الباحثين فى اول طريقهم ينصبوا فى حوالى 100 لى 1000 دولار النهارده وقع تحت ايدى اتنين منهم اول ما شفتهم بشكلهم…
👏9❤2😁1
سؤال متكرر بعد اخر بوست يدكتور مصطفى هو ممكن حد يقدر يتواجد فى 10 ابحاث مع بعض او اكثر ؟ طب والمذاكرة ؟ وتحضير المعادلة ؟ والشغل فى المستشفى ؟ بص يعزيزى الطالب الموضوع كله تنظيم وقت و Priorities لازم تكون عارف الفترة الى انت بتبذل فيها كتير هى فترة مذاكرة الريسيرش .. اما فترة الشغل فى الاوراق البحثية.. فالورقة بتتوزع على جميع الأعضاء فكل شخص بيطلع له تاسكين او تلاته فقط لو انت معاك Mentor عارف مقدرتك ومتابع تطورك …
❤5👏2
KIMRA –Khalifa International Medical Research Academy pinned «أنا فخور جدًا بطلابي الباحثين، الحمد لله🏆 ولسه الأيام جايه وأنا متأكد إنهم هيحققوا أهدافهم بإذن الله، وهيكونوا من أقوى الباحثين والأطباء على مستوى العالم. من حوالي 9 شهور، تواصل معايا زملاء من روسيا، ولبنان، وكندا، وأمريكا، والعراق. قالولي: "يا دكتور مصطفى،…»
Showing the 11 most recent of 11 posts we hold for @DrMostafaKhalifa. 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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“KIMRA –Khalifa International Medical Research Academy” (@DrMostafaKhalifa), 5,084 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/DrMostafaKhalifa.
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.