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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
33 measurements spanning 58 days, net +356. 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 15,979–16,441 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
4 Oct 2026, 07:35
16,388
+72
25 Sept 2026, 15:01
16,316
+60
17 Sept 2026, 05:16
16,256
+15
15 Sept 2026, 07:18
16,241
+18
13 Sept 2026, 16:37
16,223
+11
11 Sept 2026, 21:00
16,212
+15
9 Sept 2026, 08:38
16,197
+29
6 Sept 2026, 03:41
16,168
+9
3 Sept 2026, 21:15
16,159
+2
2 Sept 2026, 10:13
16,157
+4
1 Sept 2026, 09:42
16,153
+4
31 Aug 2026, 10:57
16,149
-1
30 Aug 2026, 13:23
16,150
+3
28 Aug 2026, 14:08
16,147
+7
27 Aug 2026, 12:33
16,140
+6
26 Aug 2026, 08:55
16,134
-2
25 Aug 2026, 05:55
16,136
+5
24 Aug 2026, 05:07
16,131
+4
22 Aug 2026, 13:36
16,127
+3
21 Aug 2026, 07:35
16,124
first reading
Engagement
28 posts held, back to 23 May 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 52 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 28 posts for this entry, the most recent from 28 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
11s
Average length
11s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
393 reactions across 28 posts, in 21 distinct kinds. The most used accounts for 53.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
210
53.4%
😭
44
11.2%
👍
38
9.67%
👏
26
6.62%
🔥
18
4.58%
🥰
16
4.07%
😱
12
3.05%
❤🔥
5
1.27%
💔
5
1.27%
😐
3
0.763%
🤯
3
0.763%
👀
2
0.509%
💯
2
0.509%
🤔
2
0.509%
🐳
1
0.254%
👌
1
0.254%
💘
1
0.254%
😇
1
0.254%
😍
1
0.254%
😡
1
0.254%
1 further kind
1
0.254%
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 28 of the 28 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 393 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 23 May 2026 to 28 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.
من يستحق أن يوضع إسمه في البحث؟ 🔬
هل المشاركة في جمع البيانات كافية؟
هل الإشراف على المشروع يعني تلقائيًا الحصول على authorship؟
وهل التمويل أو المنصب الأكاديمي يمنح حق التأليف؟
وفقًا لتوصيات ICMJE، يجب أن يستوفي المؤلف جميع المعايير الأربعة التالية:
1️⃣ مساهمة جوهرية في البحث
مثل المساهمة في:
• فكرة أو تصميم الدراسة
• جمع البيانات
• تحليل البيانات
• تفسير النتائج
2️⃣ المساهمة في كتابة البحث
3️⃣ الموافقة على النس…
تذكير للقائنا الثالث ضمن سلسلة Specialty Research 🧬🎙️
لقاء مباشر وتفاعلي نكتشف فيه عالم البحث في الأمراض النادرة، من التحديات البحثية واكتشاف الحالات النادرة إلى بناء المسار البحثي والفرص المستقبلية في مجال الأمراض الوراثية والنادرة.
🎙️ مع د. محمد المقبل
طبيب وعالم سريري بمستشفى الملك عبدالله التخصصي للأطفال، وأستاذ مشارك بجامعة الملك سعود بن عبدالعزيز للعلوم الصحية، واستشاري وراثة طبية وكيميائية حيوية وأعصاب أطفال…
ضمن سلسلة Specialty Research 🎙️
لقاء مباشر وتفاعلي حول البحث في الأمراض النادرة 🧬
مع د. محمد المقبل 🥼
طبيب وعالم سريري بمستشفى الملك عبدالله التخصصي للأطفال، وأستاذ مشارك بجامعة الملك سعود بن عبدالعزيز للعلوم الصحية، واستشاري وراثة طبية وكيميائية حيوية وأعصاب أطفال، حاصل على ماجستير التعليم الطبي و ماجستير العلوم الخلوية والجزيئية.
🗓️ 22 أغسطس (السبت)
⏰ 8:00-7:00 مساءً بتوقيت جدة
📍 عبر حسابنا في X (Space)
🎟️ الحضو…
تذكير لمحاضرتنا القادمة [غداً] 2️⃣6️⃣
تستهدف المحاضرة تقديم نصائح عملية تساعدك على بدء مشروعك البحثي وإدارته بكفاءة، والاستفادة من أدوات الذكاء الاصطناعي في البحث الطبي بطريقة صحيحة وأخلاقية 👇
نبذة عن المتحدث:
د. سارة باحويرث، طبيبة عامة وخريجة جامعة الملك عبدالعزيز، ولها اهتمام بالبحث الطبي واستخدام أدوات الذكاء الاصطناعي الحديثة في البحث الأكاديمي، مع التركيز على مساعدة الباحثين على العمل بكفاءة أكبر.
📑 العنوان:…
كيف تكتب عنوان جيد لبحثك؟ ✍️
Your research title is often the first thing a reader sees. A good title should quickly tell the reader what was studied, in whom, and in what context.
🔹 Be specific
❌ “Obesity Among Children”
✅ “Prevalence of Obesity Among School-Aged Children in Jeddah, Saudi Arabia”
🔹 Mention the population
❌ Knowledge of Vaccination
✅ Knowledge and Attitudes Toward Childhood Vaccination Among Medic…
📑 Session 26: Practical Tips on Medical Research & AI
🎙️ Speaker: Dr. Sarah Bahowerth
🗓️ Date: 15 August (Saturday) – 9:00 - 10:30 PM
Objectives:
- Start and navigate a research project efficiently.
- Use the right AI tools to save time and avoid common mistakes.
- Apply AI ethically in academic research.
👨🏻💻 Virtual on Microsoft Teams (Record will not be available ❌)
📢 Follow us! Twitter | Linkedin
#Lecture
وصلنا معاكم لـ16 الف عضو 💜
عدد كبير ماتوقعنا نوصله بهذه السرعة، شكراً من القلب لكل شخص دعمنا 🍩
المنصة منصتكم وقنوات التواصل دائماً مفتوحة لإقتراحاتكم لمتحدثين/فقرات/إضافات او أي ملاحظات لنا
[email protected]
📊 Odds Ratio (OR) vs Risk Ratio (RR)
من أكثر المفاهيم التي تسبب لبسًا في قراءة الأبحاث هو الفرق بينهما
🔹 Risk Ratio (RR)
يقارن احتمال حدوث الحدث بين مجموعتين.
إذا كان RR = 2 فإن الخطر في المجموعة الأولى ضعف المجموعة الثانية.
🔹 Odds Ratio (OR)
يقارن الأرجحية (Odds) وليس الاحتمال المباشر.
إذا كان OR = 2 فهذا لا يعني دائمًا أن الخطر تضاعف.
متى نستخدمهم؟
الإحتمالية: في الدراسات الجماعية والتجارب السريرية
الأرجحية: …
🚨 باحث أم مصنع أبحاث؟ تحقيق يكشف شبكة تنشر مئات الدراسات!
كشف تحقيق جديد من Retraction Watch عن طالب طب في السنة الثانية يقود شبكة بحثية تضم قرابة 1000 باحث عبر مجموعة واتساب، تعمل على إنتاج كميات كبيرة من المراجعات المنهجية (Systematic Review)، وتقارير الحالات (Case Reports)، ودراسات قواعد البيانات خلال فترات زمنية قصيرة جدًا.
🔍 التحقيق أشار إلى ممارسات مثيرة للقلق، منها:
• البحث عن مشاركين مقابل تقديم الأبحاث في…
❤8👍3🤯2👏1🤔1😐1
Showing the 12 most recent of 28 posts we hold for @ResearchSteps. 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.
Posts edited after publishing
@ResearchSteps edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
19 August 2026
Most recent edit
19 August 2026
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.
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.
مؤتمر صحي 🩺 @medical_conference · 29,307 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 10 September 2026
👨⚕️SAEED تجميعات👩⚕️ @SAEED5ALAKLABI · 66,244 Telegram ranks this channel #7 of 74 here — alongside 73 others — read 21 August 2026
Fair Q & A✨ @fairdaily · 30,529 Telegram ranks this channel #11 of 81 here — alongside 80 others — read 9 September 2026
منبه ضمير @damir_study · 32,654 Telegram ranks this channel #13 of 81 here — alongside 80 others — read 4 September 2026
Family Physician @FamilyPhysician_1 · 28,292 Telegram ranks this channel #14 of 75 here — alongside 74 others — read 10 September 2026
مصادر تعلم اللغة الانجليزية ✨ @NF_ENGLISH_sources · 78,688 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 13 September 2026
Ninja Nerds 🥷 @NinjaNerdssss · 38,327 Telegram ranks this channel #17 of 72 here — alongside 71 others — read 6 September 2026
تقوية التركيز والذاكرة @mensa09 · 84,014 Telegram ranks this channel #19 of 88 here — alongside 87 others — read 18 August 2026
#تطبيق_ارتقاء @e_rtiqa · 21,539 Telegram ranks this channel #20 of 82 here — alongside 81 others — read 22 September 2026
قناة - تطوعية @pnu440 · 40,037 Telegram ranks this channel #21 of 85 here — alongside 84 others — read 30 August 2026
USMLE Preparation Schedule @usmlepreparationgroup · 36,606 Telegram ranks this channel #36 of 79 here — alongside 78 others — read 2 September 2026
Internal Medicine | MW @Medical_Patna · 46,200 Telegram ranks this channel #38 of 91 here — alongside 90 others — read 28 August 2026
Elaf Faisal - Internal Medicine @Elaf_Faisal · 34,107 Telegram ranks this channel #40 of 84 here — alongside 83 others — read 3 September 2026
قناة جامعة الامام عبدالرحمن @Damam2030 · 31,968 Telegram ranks this channel #42 of 88 here — alongside 87 others — read 5 September 2026
قناة إلمام - أكاديمية الحوت 🇸🇦 @Acdh_university · 19,136 Telegram ranks this channel #49 of 86 here — alongside 85 others — read 3 October 2026
قناة جامعة طيبة. @Taibah_University_Channel · 33,452 Telegram ranks this channel #49 of 88 here — alongside 87 others — read 3 September 2026
قناة تطوعية-تقديمات @pnu1443 · 26,653 Telegram ranks this channel #50 of 90 here — alongside 89 others — read 11 September 2026
Silent @silent_2026_2027 · 59,697 Telegram ranks this channel #50 of 83 here — alongside 82 others — read 22 August 2026
SMLE Brain @smlebrain · 18,826 Telegram ranks this channel #53 of 83 here — alongside 82 others — read 4 October 2026
SMLE TOP10🔥Daily Recalls @Saudi_SMLE_TOP10 · 40,259 Telegram ranks this channel #53 of 84 here — alongside 83 others — read 30 August 2026
دليلك في جامعة طيبة 🌍. @G_TaibahU · 28,199 Telegram ranks this channel #54 of 87 here — alongside 86 others — read 9 September 2026
FAIR ⛈ SMLE @dec2020q · 26,029 Telegram ranks this channel #55 of 83 here — alongside 82 others — read 13 September 2026
أثر | قناة جامعة جازان @Unjzn_C · 31,286 Telegram ranks this channel #59 of 81 here — alongside 80 others — read 6 September 2026
Review team | Internal medicine @SMLE_medicine · 33,153 Telegram ranks this channel #62 of 83 here — alongside 82 others — read 4 September 2026
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Research Step-by-Step 🔬” (@ResearchSteps), 16,388 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/ResearchSteps.
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.