4 measurements spanning 6 days, net +3. 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 3,313–3,316 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 03:46
3,316
+2
10 Aug 2026, 11:35
3,314
-1
7 Aug 2026, 10:00
3,315
+2
6 Aug 2026, 18:18
3,313
first reading
Engagement
20 posts held, back to 15 February 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.0%
avg views ÷ 3,316 subscribers
Avg views / post
332
3 posts measured
Reaction rate
0.906%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 20 July 2026
Posts held
20 (15 February 2026 – 20 July 2026)
Views total
996
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:29 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.
Reaction mix
89 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 40.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
36
40.4%
😢
26
29.2%
👏
16
18.0%
💯
5
5.62%
😱
2
2.25%
❤🔥
1
1.12%
😁
1
1.12%
🙏
1
1.12%
🤝
1
1.12%
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 17 of the 20 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 89reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 15 February 2026 to 20 July 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.
#طلب_نشر
السلام عليكم ورحمة الله
الله يعطيكم العافية
إذا بتقدرو تساعدني بخدمة زكاتك ولكم الأجر 🌿
في منصة إلكترونية تركية اسمها *"تداوي"* 🩺💊
عم تجمع بيانات عن الوضع الطبي السوري حتى تفتح مشروعها في سورية وهو *توسُّع الخدمات الصحية الرقمية في سورية*.
شيء له علاقة بربط التقنيات بالطب (استشارات طبية إلكترونية - معاينات منزلية - حجز مواعيد - لقاءات meet مع المرضى - تنظيم شؤون الدكاترة والمشافي - .....)
المشروع مهم جدا…
بعض الأطباء يكتمون مهاراتهم وأسرار تخصّصهم خشية المنافسة.
قال رسول الله ﷺ:«من سُئِل عن علمٍ فكتمه أُلجِم يوم القيامة بلجامٍ من نار».
أما العلم الذي يُحتاج إليه في نفع المسلمين، فلا يليق بأهله أن يحتكروه خوفًا من منافسة، أو حرصًا على تفرُّد.
إن احتكار الخبرة التي يحتاجها الأطباء:
📌 يحرم الزملاء من الانتفاع بعلمٍ جعله الله أمانة.
📌 ويؤخر وصول النفع إلى المرضى الذين قد يكون في تعلُّم غيرك سببٌ في شفائهم.
📌 ويُنافي…
السلام عليكم ورحمة الله وبركاته
الزملاء الأطباء المقيمين،
ندعوكم للمشاركة في دراسة بحثية تهدف إلى تقييم العلاقة بين بيئة التدريب والتعليم وحالات الاحتراق النفسي والاكتئاب والقلق لدى أطباء الإقامة في سوريا.
🩺 لماذا مشاركتك مهمة؟ لأن صوت كل طبيب مقيم يعكس واقع التدريب، وقد تسهم نتائج هذه الدراسة في تسليط الضوء على التحديات التي نواجهها واقتراح حلول عملية لتحسين بيئة الإقامة.
⏱️ مدة تعبئة الاستبيان: أقل من 5 دقائق.
🔒 ا…
🔸️ البحث العلمي تحوّل لحاجة ملحة لكلّ طبيب حابب يبقى على إطّلاع بأحدث التقنيات والتطوّرات الطبيّة، فدواء البارحة قد لا يكون نافع اليوم، وإجراء البارحة قد يشكل خطراً، البحث العلمي وتعلّم قراءة الأوراق البحثية ينتج منك طبيب حريص بين يديه كلّ جديد يخدم مصلحة المريض..
🔸️تعلّم كتابة الاوراق البحثية مهارة تستحق التعب عليها، فوجود ورقة بحثية منشورة في مجلة عالمية محكّمة في ال CV الخاص بك بيفتح آفاق واسعة أمامك من منح أكاد…
نذكركم .. 🌿
الاعلانات في هذه القناة مجانية بشرط ان يكون المُعلن عنه:
👈 مفيدا للأطباء وطلاب الطب.
👈 بأسعار مقبولة ومنطقية ..
راسلنا على الخاص ..
@yasser_alsayed
في قسم الإسعاف القرار الصحيح لازم يكون خلال ثواني ⏱️
وهون الفرق بين طبيب عادي وطبيب جاهز للحالات الحرجة 😎
🔥 إذا كنت طالب طب أو على أبواب المشفى أو طبيب مقيم عم تلاقي صعوبة بتقييم المرضى العلمي و الصحيح ..
هذا الكورس مصمم ليحوّلك من متفرّج إلى صانع قرار طبي حقيقي 💯
سارع بالتسجيل قبل اكتمال العدد 🩺
لمحة عن الكورسات 👇
https://www.facebook.com/share/r/1DxJoBUyLw/
للتسجيل او الاستفسار : 0949779649
- السلام عليكم ..🌿
- للمقبلين على ستاج الانعاش والعناية الاسعافية والعناية العامة .. 🔥
- بقناة توصيات طبية حاولنا بكل جهدنا نجمع المواضيع الهامة بطريقة مختصرة ولكن ذكرنا انو لابد من الرجوع لمرجع ..
وأكيد مين ما سألتو لح يخبركن عن مارينو .. وهي النسخة المترجمة منو
- كتاب Marino's the little ICU book مترجم للعربي
- كتاب يبحث كل اللوازم والاعتبارات في وحدات العناية من اعتبارات المداخل التغذوية مرورا بمراقبة الجريان وا…
إضافة نوعية لكتب الأشعة في قناتنا 🔥
ترجمة كتاب core radiology العريق من اصدارات جامعة كامبريدج البريطانية
يقدم دليلا مرئيا تشخيصيا لاكثر من ١٢٠٠ حالة في كافة التخصصات - مصورة مع الشرح
t.me/arabic_med_book 📚
#المصدر_33 ..
#بنك ..
بنك كتاب كليفلاند الشهير الصادر في تاريخ 2022 ..
📚 ترتيب البنوك التي ترجمناها ..
◀️1. برونولد ( موجود pdf كامل )
◀️2. بورد ريفيو ويلي (موجود pdf كامل )
◀️3. أكساب ( موجود pdf كامل )
◀️4. أكساب الصيدلة السريرية ( تم الانتهاء منه كاملا ولم ينقل بعد الى pdf )
◀️5. هرست ( لم ينتهي بعد )
◀️6.اوكسفورد ( على وشك الانتهاء ولم ينقل بعد الى pdf )
◀️7. بنك بودريد للتخطيط ( بدأنا به للتو )
◀️8. كليفلان…
ترجمة كتاب Postoperative care handbook Massachusetts
من أجمل الكتب التي تصقل مهارة الأطباء الجراحيين فيما يخص العناية بالمريض بعد الجراحة والاختلاطات التي يمكن أن تحدث والمعتمد في تدبيرها دون الدخول في تطويل ممل
ترجمة مجموعة من طلاب الطب - جامعة دمشق
t.me/arabic_med_book 📚
📍 أين يذهب الأطباء؟ ولماذا؟
في ظل التحديات الاقتصادية والمهنية المتزايدة التي يواجهها الأطباء في الشرق الأوسط، تبرز الحاجة إلى دراسة ظاهرة هجرة الكوادر الطبية بشكل علمي دقيق.
🎯 هدف الدراسة:
تقدير مدى انتشار نية الهجرة بين الأطباء في الشرق الأوسط، وتحديد العوامل الدافعة والجاذبة المؤثرة في قرار الهجرة.
🧠 لماذا نشارك؟
نتائج هذا البحث ستساعد في فهم أعمق لهذه الظاهرة، وقد تساهم في رسم سياسات تحافظ على الكوادر الطبية و…
👏3🤝1
Signed ياسر السيد
Showing the 12 most recent of 20 posts we hold for @Scientificreviews. 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.
Citation-graph rank
Citation-graph rank — 335,137 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Medical Reviews 🍃” (@Scientificreviews), 3,316 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Scientificreviews.
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.