تجمع كبير للآلاف من الطلاب الشغوفين والدارسين بمجال الصيدلة بمختلف بقاع السودان الحبيب،
يشمل كل كليات الصيدلة بالجامعات السودانية وجميع مشرفي كليات صيدلة بالبلاد.
▪︎ هدفنا 💜 :-
إعادة الشغف لكل طلاب الصيدلة و المساعدة في تقديم صيدلي ناجح و مدرك .
Created
Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements taken within a single day. 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 7,136–7,150 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 21:01
7,143
no change
10 Aug 2026, 12:31
7,143
first reading
Engagement
24 posts held, back to 11 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
5.55%
avg views ÷ 7,143 subscribers
Avg views / post
396
14 posts measured
Reaction rate
1.39%
reactions ÷ views · ER floor
Posts in window
16
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 12 of 14 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 11 August 2026
Posts held
24 (11 July 2026 – 11 August 2026)
Views total
5,546
Reactions total
66
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:20 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
≈1,630
Videos
≈32
Links
≈203
Lifetime counters from Telegram’s own channel header, read 12 August 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
99 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
77
77.8%
🔥
19
19.2%
👍
3
3.03%
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 18 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 99reactions 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 11 July 2026 to 11 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.
Pharmacy Hacks 💜🔥
لو قلت ليك إن اسم الدواء ذاته ممكن يساعدك تحفظ الـClass والـGeneration وحتى معلومة مهمة عنه... تصدق؟
بدل ما تحفظ Ceftriaxone كاسم فقط، تعال نفكك الاسم دا ونخلي كل جزء منه يذكرك بمعلومة:
CEF → Cephalosporin
ينتمي إلى مجموعة الـCephalosporins.
TRI → 3rd Generation
من الجيل الثالث من الـCephalosporins.
AXONE → CNS/CSF penetration
يتميز بقدرته على الوصول إلى الـCSF، خاصةً في وجود التهاب السحايا، و…
إذا جاوبت Warfarin...
فأنت عرفتني صح 🌚💜🔥
Warfarin هو
Oral Anticoagulant من مجموعة Vitamin K antagonists (VKA)، ويُستخدم لمنع وعلاج بعض حالات thromboembolism.
يعمل عن طريق تثبيط Vitamin K epoxide reductase (VKORC1)، وبالتالي يقلل إعادة تدوير Vitamin K الضروري لتكوين عوامل التخثر:
II, VII, IX, X
بالإضافة إلى Protein C & Protein S.
وبسبب تأثيره على coagulation, يحتاج المريض إلى متابعة منتظمة للـINR لضمان بقاء التأثي…
❓ WHO AM I? | Episode 01
دواء واحد... وورا قصته حكاية بدت بين الأبقار، وانتهت في عالم الصيدلة
في كل حلقة من Who Am I? ح نحكي ليكم قصة دواء بطريقة مختلفة، ونديكم clues كفاية تخليكم تربطوا المعلومات وتخمّنوا الدواء قبل ما نكشف الإجابة
يلا نشوف... هل ح تعرفوني من القصة؟ 👀
بين مزارع أمريكا الشمالية نشأت أنا، بعد ما ظهرت حالة غريبة من النزيف بين الأبقار، والسبب كان مجهول
لم يعرف أحد أنني كنت مختبئاً بين الحشائش، خاصة…
⚖️ Drug vs Drug | Episode 01
دوائين بنشوفهم كتير في علاج Type 2 Diabetes Mellitus:
Metformin 🆚 Pioglitazone
الاتنين بيساعدوا في تحسين التحكم في مستوى سكر الدم، لكن هل بيشتغلوا بنفس الطريقة؟ وهل تأثيرهم على الوزن والـAdverse Effects واحد؟
خلونا نقارن بينهم ونشوف أهم الفروقات بطريقة بسيطة تساعدنا نفهم المعلومة ونربطها
1️⃣ Drug Class
Metformin: Biguanide
Pioglitazone: Thiazolidinedione (TZD)
2️⃣ Mechanism of Act…
🚀 A New Chapter Begins...
بعد فترة من التوقف...
Sudanese Pharmacy Students (SPS)
راجعة ليكم من جديد، لكن برؤية مختلفة، وهوية متجددة، ومحتوى صُمم خصيصاً لطلاب الصيدلة 💜
الفترة الجاية ح تكون بداية مرحلة جديدة، فيها سلاسل وبرامج متنوعة مصممة خصيصاً لطلاب الصيدلة؛ تجمع بين الفائدة، والتفاعل، وتساعدكم في رحلتكم الدراسية بطريقة بسيطة وممتعة
شنو البينتظركم؟
ح نتكلم عن مفاهيم صيدلانية بطريقة مختلفة
ح نعمل مقارنات علمي…
دكتورة نهلة يوسف 💜🔥
نتقدم إليكم بخالص الشكر والتقدير على حضوركم ومشاركتكم القيّمة في حلقة طب الأسنان من بودكاست SPS.
كان لوجودكم أثرٌ كبير في إثراء الحلقة، حيث أسهمتم بخبرتكم في تسليط الضوء على دور طب الأسنان، وأبرزتم أهمية التكامل بينه وبين الصيدلة في تقديم رعاية صحية أكثر شمولًا وجودة. كما أضفت رؤاكم العلمية وتجاربكم المهنية قيمةً كبيرة للنقاش، وجعلت المحتوى أكثر ثراءً وفائدةً للمستمعين.
شكرًا لكم على وقتكم الكر…
Showing the 12 most recent of 24 posts we hold for @PSISinitiative. 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 — 386,631 of 1,478,351entries 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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“S.P.S - Sudanese Pharmacy Students” (@PSISinitiative), 7,143 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/PSISinitiative.
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.