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Channel

القناة الفرعية الدفعة 28 ( طالبات ) 🩺

@girlstu28

On this record: Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry

354subscribers

-1 since we began measuring on 28 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002087504718
TypeChannel
Username@girlstu28
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 August 2026
Last confirmed live8 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/girlstu28

Growth

354355354.528 August 2026 — 355 subscribers29 August 2026 — 355 subscribers8 September 2026 — 354 subscribers28 August 20268 September 2026
3 measurements spanning 11 days, net -1. 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 354–355 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 03:38354-1
29 Aug 2026, 01:08355no change
28 Aug 2026, 07:15355first reading

Engagement

20 posts held, back to 9 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.9%
avg views ÷ 354 subscribers
Avg views / post
70.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 August 2026
Posts held20 (9 May 202624 August 2026)
Views total141
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 07:15 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.

Recent posts

24 Aug 2026, 16:30 UTC42 viewsread 28 August 2026
Forwarded from @dentgir31Photo

Photo, posted without a caption

Signed Noor♡.

11 Aug 2026, 03:28 UTC99 viewsread 28 August 2026
Forwarded from @USFScienceTechnology1Photo

تحت شعار ﴿مُحَمَّدٌ رَسُولُ اللَّهِ وَالَّذِينَ مَعَهُ أَشِدَّاءُ عَلَى الْكُفَّارِ رُحَمَاءُ بَيْنَهُمْ﴾ وبرعاية رئيس الجامعة أ.د/ القاسم محمد عباس يسر إدارة فرع الطالبات بالتعاون مع ملتقى الطالب الجامعي بجامعة العلوم والتكنولوجيا لدعوتكم لحضور فعالية خطابية إحياء لذكرى المولد النبوي الشريف 1448هـ على صاحبه وآله أفضل الصلاة وأزكى التسليم 📅 الثلاثاء 28/صفر/1448هـ الموافق 2026/08/11 🕙 الساعة 10 صباحًا 📍 فرع الطالبات –

Signed Noor♡.

20 Jul 2026, 18:29 UTC195 viewsread 28 August 2026
Photo

Photo, posted without a caption

Signed Fatima M Al madani

11 Jul 2026, 19:25 UTC173 viewsread 28 August 2026
Forwarded from @USFScienceTechnology1File

💡مجلة تواصوا الطلابية العلمية 📖 الفصل الأول : كلية الطب [الطب البشري ]🥼 تجارب علمية ونصائح مهمه يهديها الطلاب المتميزون الأوائل لطلاب الطب في جميع المستويات الدراسية . اكتشف أسرار التميز من خلال تجارب ونصائح الطلاب الأوائل: أفضل طرق المذاكرة للنظري والعملي، وخطط فعّالة للاستعداد للامتحانات، وأهم النقاط في كل بلوك، والعقبات الشائعة وكيفية التغلب عليها. 🚀ترقبوا انطلاق مجلة تواصوا الفصل الثاني : كلية طب الأسنان

Signed Fatima M Al madani

10 Jul 2026, 16:37 UTC170 viewsread 28 August 2026
Forwarded from @USFScienceTechnology1Photo

انتظرونا الليلة... إطلاق الفصل الأول من مجلة "تواصوا" الطلابية العلمية. رحلةٌ من المعرفة، وتجاربٌ ملهمة، ومحتوى يصنع الفارق. كونوا أول من يقرأ التجارب لتكون لكم انطلاقة في رحلة من المعرفه والإلهام

Signed Fatima M Al madani

7 Jul 2026, 14:31 UTC92 viewsread 28 August 2026
Forwarded from @USFScienceTechnology1Photo

Photo, posted without a caption

Signed ملتقى الطالب الجامعي _ جامعة العلوم والتكنولوجيا

7 Jul 2026, 14:31 UTC124 viewsread 28 August 2026
Forwarded from @USFScienceTechnology1

🎉مجانا ✨ تعلن مؤسسة معارج العلم للتنمية والتأهيل عن فتح باب التسجيل في الحزمة التدريبية الطبية المتكاملة، والتي تهدف إلى تأهيل وتطوير المهارات العملية والسريرية لطلاب القطاع الصحي وفق أحدث المعايير الطبية. 👨‍⚕️ بإشراف نخبة من المدربين والأكاديميين المتخصصين ━━━━━━━━━━━━━━━━━━ 📚 تشمل الحزمة التدريبية الدورات التالية: 🚑 دورة مهارات الطوارئ 🩺 دورة المهارات السريرية 🩻 دورة الأشعة السينية (X-Ray) ━━━━━━━━━━━━━━━━━━ 🚑

Signed ملتقى الطالب الجامعي _ جامعة العلوم والتكنولوجيا

18 Jun 2026, 20:43 UTC168 viewsread 28 August 2026
Forwarded from @train9ing

🚨 إعلان هام 🚨 🧠 المحاضرة الرابعة من دورة طب المخ والأعصاب المجانية (أونلاين) 👨‍⚕️ يقدمها: الدكتور محمد شاكر أخصائي أول في الأمراض الباطنة والعصبية 🎓 بالتعاون مع ملتقى الطالب الجامعي – جامعة العلوم والتكنولوجيا ━━━━━━━━━━━━━━ 🎯 الفئة المستهدفة: طلاب الكليات الطبية والصحية من المستوى الرابع وحتى سنة الامتياز 📣 ستُصدر شهادات حضورية للمشاركين 🌟 استثمر في مهاراتك الطبية، وواصل رحلتك نحو التميز المهني. 📞 لمعرفة مواع

Signed Fatima M Al madani

12 Jun 2026, 17:19 UTC212 viewsread 28 August 2026
Forwarded from @USF_almy2

🚨 بقي القليل على انطلاق المحاضرة الثالثة من دورة طب المخ والأعصاب المجانية (أونلاين) 🧠 👨‍⚕️ مع الدكتور محمد شاكر 🎓 بالتعاون مع ملتقى الطالب الجامعي – جامعة العلوم والتكنولوجيا ⏰ اليوم الجمعة | الساعة 9:00 مساءً 💻 عبر Google Meet 🎁 المشاركة مجانية + شهادات حضور 📚 محاور مميزة في تشخيص وعرض الحالات العصبية الشائعة. 🔔 لا تفوت الفرصة… ننتظركم بعد قليل!

Signed Fatima M Al madani

12 Jun 2026, 13:51 UTC173 viewsread 28 August 2026
Forwarded from @train9ing

إعلان هام 🚨 🧠 المحاضرة الثالثة من دورة طب المخ والأعصاب المجانية (أونلاين) 👨‍⚕️ يقدمها: الدكتور محمد شاكر أخصائي أول في الأمراض الباطنة والعصبية 🎓 بالتعاون مع ملتقى الطالب الجامعي – جامعة العلوم والتكنولوجيا ━━━━━━━━━━━━━━ 📅 الموعد: اليوم الجمعة ⏰ الساعة: 9:00 مساءً 💻 المنصة: Google Meet 🎁 المشاركة مجانية ━━━━━━━━━━━━━━ 📚 محاور المحاضرة: 🔹 Localization of Nervous System Lesion 🔹 Upper Motor Neuron Lesion (UMNL) 🔹 Lo

Signed Fatima M Al madani

4 Jun 2026, 02:10 UTC133 viewsread 28 August 2026
Forwarded from @train9ingPhoto

انتظرونا قريبا الدورات المجانية عبر الإنترنت [اونلاين ] برعايةجامعة العلوم والتكنولوجيا تعلم من اي مكان، قربنا المسافات للتسجيل عبر موقع النادي العلمي لجامعة العلوم والتكنولوجيا [الدورات عبر الانترنت ] https://ust.edu.ye/coursesreg/reg_online.php لمتابعة التفاصيل : مجتمع الدورات المجانية أونلاين واتس اب : https://chat.whatsapp.com/HZ7lA83LLCh5cjNjzqoH2z لمتابعة جميع الدورات : تليجرام : https://t.me/train9ing

Signed ملتقى الطالب الجامعي _ جامعة العلوم والتكنولوجيا

25 May 2026, 18:19 UTC131 viewsread 28 August 2026
Forwarded from @USF_almyPhoto

Photo, posted without a caption

Signed Fatima M Al madani

Showing the 12 most recent of 20 posts we hold for @girlstu28. 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.

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

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.

Internal Medicine | MW
@Medical_Patna · 44,841
Telegram ranks this channel #37 of 91 here — alongside 90 others — read 28 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“القناة الفرعية الدفعة 28 ( طالبات ) 🩺” (@girlstu28), 354 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/girlstu28.

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.