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Channel

Research Step-by-Step 🔬

@ResearchSteps

Not marked by Telegram, checked 19 August 2026

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

16,157subscribers

+125 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002225629066
TypeChannel
Username@ResearchSteps
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live2 September 2026
Measurements held24
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/ResearchSteps

Growth

16,03216,15716,094.57 August 2026 — 16,032 subscribers8 August 2026 — 16,033 subscribers9 August 2026 — 16,038 subscribers10 August 2026 — 16,043 subscribers10 August 2026 — 16,070 subscribers11 August 2026 — 16,079 subscribers12 August 2026 — 16,081 subscribers14 August 2026 — 16,084 subscribers15 August 2026 — 16,089 subscribers17 August 2026 — 16,094 subscribers18 August 2026 — 16,105 subscribers19 August 2026 — 16,104 subscribers20 August 2026 — 16,111 subscribers21 August 2026 — 16,124 subscribers22 August 2026 — 16,127 subscribers24 August 2026 — 16,131 subscribers25 August 2026 — 16,136 subscribers26 August 2026 — 16,134 subscribers27 August 2026 — 16,140 subscribers28 August 2026 — 16,147 subscribers30 August 2026 — 16,150 subscribers31 August 2026 — 16,149 subscribers1 September 2026 — 16,153 subscribers2 September 2026 — 16,157 subscribers7 August 20262 September 2026
24 measurements spanning 26 days, net +125. 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 16,013–16,176 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
2 Sept 2026, 10:1316,157+4
1 Sept 2026, 09:4216,153+4
31 Aug 2026, 10:5716,149-1
30 Aug 2026, 13:2316,150+3
28 Aug 2026, 14:0816,147+7
27 Aug 2026, 12:3316,140+6
26 Aug 2026, 08:5516,134-2
25 Aug 2026, 05:5516,136+5
24 Aug 2026, 05:0716,131+4
22 Aug 2026, 13:3616,127+3
21 Aug 2026, 07:3516,124+13
20 Aug 2026, 11:0616,111+7
19 Aug 2026, 12:1516,104-1
18 Aug 2026, 13:3516,105+11
17 Aug 2026, 10:2316,094+5
15 Aug 2026, 17:4616,089+5
14 Aug 2026, 03:2816,084+3
12 Aug 2026, 17:5616,081+2
11 Aug 2026, 20:4216,079+9
10 Aug 2026, 22:5316,070first reading

Engagement

28 posts held, back to 23 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 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.4%
avg views ÷ 16,157 subscribers
Avg views / post
2,330
11 posts measured
Reaction rate
0.555%
reactions ÷ views · ER floor
Posts in window
11
of 28 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 28 August 2026
Posts held28 (23 May 202628 August 2026)
Views total25,600
Reactions total142
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 03:50 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

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
ReactionCountShareShare, drawn
21053.4%
😭4411.2%
👍389.67%
👏266.62%
🔥184.58%
🥰164.07%
😱123.05%
❤‍🔥51.27%
💔51.27%
😐30.763%
🤯30.763%
👀20.509%
💯20.509%
🤔20.509%
🐳10.254%
👌10.254%
💘10.254%
😇10.254%
😍10.254%
😡10.254%
1 further kind10.254%

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.

Recent posts

28 Aug 2026, 10:23 UTC≈1,100 views14 reactionsread 2 September 2026
Photo

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

9👏4👍1

22 Aug 2026, 16:36 UTC≈1,560 views10 reactionsread 2 September 2026

نعتذر منكم انقطع السبيس قبل ماننتهي بسبب مشكلة في الاتصال 🔇 شكراً لكل الحضور

8👏1😢1

21 Aug 2026, 15:17 UTC≈1,990 views6 reactionsread 2 September 2026

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

4👍1🔥1

18 Aug 2026, 14:14 UTC≈1,900 views20 reactionsread 2 September 2026
Photo

نبقى المنصة الأفضل ☝

🔥97👍2👏1💯1

17 Aug 2026, 16:50 UTC≈1,940 views3 reactionsread 2 September 2026
Photo

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

2👍1

14 Aug 2026, 17:30 UTC≈2,010 views15 reactionsread 2 September 2026

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:

14👍1

11 Aug 2026, 10:08 UTC≈2,130 views10 reactionsread 2 September 2026
Photo

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

6👍3👏1

9 Aug 2026, 16:44 UTC≈6,540 views14 reactionsread 2 September 2026
Photo

📑 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

👍7❤‍🔥41👏1🔥1

6 Aug 2026, 12:19 UTC≈2,090 views14 reactionsread 2 September 2026
Photo

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]

10👏2👍1🔥1

5 Aug 2026, 10:27 UTC≈2,090 views26 reactionsread 2 September 2026
Video

اذا سحب عليك مشرف البحث وقررت تغيره

😭20💔5🐳1

4 Aug 2026, 12:20 UTC≈2,250 views10 reactionsread 2 September 2026
Photo

📊 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:

7👍2👏1

1 Aug 2026, 10:30 UTC≈2,410 views16 reactionsread 2 September 2026
Photo

🚨 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

Citation-graph rank

Citation-graph rank — 480,326 of 1,629,403 entries 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.

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.

👨‍⚕️SAEED تجميعات👩‍⚕️
@SAEED5ALAKLABI · 65,782
Telegram ranks this channel #7 of 74 here — alongside 73 others — read 21 August 2026
تقوية التركيز والذاكرة
@mensa09 · 84,488
Telegram ranks this channel #19 of 88 here — alongside 87 others — read 18 August 2026
قناة - تطوعية
@pnu440 · 40,302
Telegram ranks this channel #21 of 85 here — alongside 84 others — read 30 August 2026
USMLE Preparation Schedule
@usmlepreparationgroup · 35,702
Telegram ranks this channel #36 of 79 here — alongside 78 others — read 2 September 2026
Internal Medicine | MW
@Medical_Patna · 44,610
Telegram ranks this channel #38 of 91 here — alongside 90 others — read 28 August 2026
Silent, September 💥
@silent_2026_2027 · 59,739
Telegram ranks this channel #50 of 83 here — alongside 82 others — read 22 August 2026
SMLE TOP10🔥Daily Recalls
@Saudi_SMLE_TOP10 · 40,315
Telegram ranks this channel #53 of 84 here — alongside 83 others — read 30 August 2026
سكاو
@skaau_com · 95,195
Telegram ranks this channel #71 of 91 here — alongside 90 others — read 16 August 2026

This channel appears in 8 seed channels' Telegram-generated recommendation lists 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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“Research Step-by-Step 🔬” (@ResearchSteps), 16,157 subscribers as measured 2 September 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.