Health & wellness — 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 17 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.
Growth
14 measurements spanning 43 days, net +273. 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 1,164–1,522 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 08:01
1,481
+30
15 Sept 2026, 04:18
1,451
+74
11 Sept 2026, 04:16
1,377
+5
6 Sept 2026, 14:41
1,372
+26
2 Sept 2026, 01:33
1,346
+69
30 Aug 2026, 00:25
1,277
+30
26 Aug 2026, 16:03
1,247
+23
23 Aug 2026, 13:28
1,224
+2
20 Aug 2026, 07:23
1,222
+12
17 Aug 2026, 11:16
1,210
+4
13 Aug 2026, 12:48
1,206
+1
10 Aug 2026, 22:42
1,205
-3
7 Aug 2026, 23:17
1,208
no change
7 Aug 2026, 19:14
1,208
first reading
Engagement
20 posts held, back to 30 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 1 page 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 20 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
217 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 56.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
123
56.7%
💯
37
17.1%
👏
28
12.9%
💔
13
5.99%
🎉
8
3.69%
🏆
8
3.69%
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 19 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 217 reactions 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 30 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.
كيف نقدم دعمًا نفسيًا لشخص يعاني من مرض مزمن؟
ليس كل ألمٍ يُرى، وليس كل دعمٍ يكون بالدواء.
قد تكون كلمة طيبة، أو إنصات صادق، أو سؤال بسيط: "كيف حالك اليوم؟" سببًا في تخفيف حملٍ ثقيل يحمله مريض الأمراض المزمنة.
فالمرض المزمن لا يؤثر على الجسد فقط، بل قد يترك أثرًا على المشاعر والنفسية والحياة اليومية.
الدعم النفسي لا يغيّر التشخيص، لكنه يغيّر طريقة التعايش مع المرض، ويمنح المريض قوةً وأملًا للاستمرار في رحلة العلا…
🩵 𝐁𝐚𝐡𝐞𝐭𝐡𝐨𝐨𝐧 | باحثون الطبي pinned «ليش الأبحاث العلمية الطبية مهمة ؟! سـننشر ـ بإذن الله - أفضل ٣ إجابات خارجة عن الصندوق و ملهمة 📣🎉 ⬇️⬇️⬇️⬇️⬇️⬇️ @Dr_Multiple_bot ✅»
-كان لفريق باحثون خلال الفترات الماضية مساهمات عديدة في دعم أفنان وأسرتها، وهي طالبة طب بشري في جامعة غزة، وكذلك دعاء وأسرتها، وهي طالبة في المستوى الأول بالجامعة الإسلامية في غزة، وقد وُثِّقت هذه المبادرات جميعها في القناة.
وهذه الرسالة وصلتنا منهم...
قد لا نملك اليوم أن نخفف عنهم بما نتمنى، لكن لا تنسوهم من الدعاء، وأحيوا ذكرهم بين الناس، وذكّروا غيركم بالدعاءلهم.
#فريق_باحثون_الطبي
يومٌ جديد... 💐
أخلِصوا أكثر، واصدُقوا أكثر، وطِيبوا نفسًا وأَحْسِنوا كَمَا أَحْسَن اللَّهُ إِلَيكم 📝
لا تنسوا وِردكم وأذكاركم قبل انطلاقكم إلى ميادين سعيكم، أينما كنتم.
وإن كنتم محافظين عليها، فنسأل الله لكم الثبات والزيادة من فضله، وإن كان غير ذلك، فابدؤوا من اليوم، واعلموا أن الله لا يُضيع سعيًا أُخلص له، ولا تعبًا ابتُغي به وجهه ومهما اشتدت الظروف، وتعسّرت الطرق.
أخلِصوا النوايا،
والزَموا ثغوركم،
وأكثروا من دع…
عوامل تقييم المجلات العلمية العالمية 📣
المنشور الثاني ⚠️
📊 ما هو Quartile (Q)؟
Quartile (Q) هو نظام عالمي يُستخدم لتصنيف المجلات العلمية داخل نفس التخصص ، حيث تُقسَّم المجلات إلى 4 أرباع بناءً على أدائها وتأثيرها العلمي.
📌 ببساطة : كلما كان تصنيف المجلة أقرب إلى Q1، كانت مكانتها العلمية أعلى مقارنةً بالمجلات الأخرى في نفس المجال.
🏆 تصنيفات الـ Q
🥇 Q1: أفضل 25% من المجلات في التخصص.
مثال: British Journal of Su…
عوامل تقييم المجالات العالمية 📣
المنشور الأول ⚠️
📊. ما هو الـ Impact Factor (IF)؟
الـ Impact Factor (IF) هو مؤشر يقيس مدى تأثير المجلة العلمية، ويعتمد على متوسط عدد
الاستشهادات (Citations)
التي تحصل عليها مقالاتها خلال فترة زمنية محددة.
📌 ببساطة: كلما ارتفع IF، زاد تأثير المجلة وانتشرت أبحاثها بشكل أكبر بين الباحثين.
مثال:
إذا كان Impact Factor = 20 فهذا يعني أن مقالات المجلة المنشورة خلال آخر سنتين حصلت في ال…
لكل الطلاب الذين يحملون حزن أيامهم معهم 💎
ولكل من يتحمل ضغوط الحياة فوق دراسته، ولكل من انصهرت من فرط التعب روحه، ولكل من أُصيب بالخيبة من امتحانات أو مواد علمية معقدة، ولكل من تحمّل لأجل العلم كسر خاطر، أو سوء خُلُق، أو كلمة جارحة، أو موقفًا صعبًا داخل الجامعة، أو شدة بعض الدكاترة، أو ضغط المواد والاختبارات...
📚📚📚📚📚
لا بأس على قلوبكم، فهذه الأيام ستمضي، وهذا التعب لن يضيع، وربكم يرى كل خطوة تخطونها في سبيل العلم…
الأخوة الزملاء في كلية الطب خصوصا
بتوصل لسنة رابعة وخامسة وحتى سادسة أحيانًا بتشعر إنك تائه وضايع وأنك ماتدرس طب أصلًا، بتحس إن ماعندك المعلومات الكفاية وإن الناس افضل منك وبتقول في نفسك أنا مش دكتور ولا يمكن أكون دكتور
وبتكون تشوف أطباء يعالجوا ويكتبوا روشتات وخطط علاجية وهذا بيزيدك ضياع وإنك مش فاهم ولا مذاكر ولا درست طب
أحب اقولك يا زميل أن هذا الشعور طبيعي بل وأكثر من الطبيعي ويمر فيه أي طالب طب
لا تصدق المتفاخري…
❤14🏆1💯1
Showing the 12 most recent of 20 posts we hold for @mult1Research. 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
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 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@mult1Research named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@rrrr2035 named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 15 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“🩵 𝐁𝐚𝐡𝐞𝐭𝐡𝐨𝐨𝐧 | باحثون الطبي” (@mult1Research), 1,481 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/mult1Research.
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.