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Channel

Medical App

@medical_android

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

19,820subscribers

-91 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001403520651
TypeChannel
Username@medical_android
Created24 May 2020measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live29 August 2026
Measurements held23
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/medical_android

Growth

19,82019,91119,865.56 August 2026 — 19,911 subscribers7 August 2026 — 19,909 subscribers8 August 2026 — 19,903 subscribers9 August 2026 — 19,899 subscribers10 August 2026 — 19,895 subscribers11 August 2026 — 19,894 subscribers12 August 2026 — 19,891 subscribers13 August 2026 — 19,889 subscribers14 August 2026 — 19,886 subscribers16 August 2026 — 19,884 subscribers17 August 2026 — 19,872 subscribers18 August 2026 — 19,866 subscribers19 August 2026 — 19,861 subscribers20 August 2026 — 19,859 subscribers21 August 2026 — 19,858 subscribers22 August 2026 — 19,850 subscribers24 August 2026 — 19,843 subscribers25 August 2026 — 19,836 subscribers26 August 2026 — 19,831 subscribers27 August 2026 — 19,832 subscribers27 August 2026 — 19,828 subscribers28 August 2026 — 19,822 subscribers29 August 2026 — 19,820 subscribers6 August 202629 August 2026
23 measurements spanning 23 days, net -91. 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 19,806–19,925 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
29 Aug 2026, 23:0919,820-2
28 Aug 2026, 19:4319,822-6
27 Aug 2026, 23:0419,828-4
27 Aug 2026, 00:0819,832+1
26 Aug 2026, 03:4319,831-5
25 Aug 2026, 04:4819,836-7
24 Aug 2026, 05:1419,843-7
22 Aug 2026, 15:5919,850-8
21 Aug 2026, 06:5719,858-1
20 Aug 2026, 08:3619,859-2
19 Aug 2026, 07:0619,861-5
18 Aug 2026, 09:5519,866-6
17 Aug 2026, 12:3519,872-12
16 Aug 2026, 06:3819,884-2
14 Aug 2026, 19:1819,886-3
13 Aug 2026, 09:2519,889-2
12 Aug 2026, 12:5519,891-3
11 Aug 2026, 09:3719,894-1
10 Aug 2026, 13:0819,895-4
9 Aug 2026, 09:5319,899first reading

Engagement

20 posts held, back to 14 November 2023the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 49 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.25%
avg views ÷ 19,820 subscribers
Avg views / post
1,040
1 post measured
Reaction rate
0.288%
reactions ÷ views · ER floor
Posts in window
1
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 31 July 2026
Posts held20 (14 November 202331 July 2026)
Views total1,040
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 22:59 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.

Reaction mix

213 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 44.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9444.1%
👍8439.4%
🔥209.39%
🎉52.35%
👏52.35%
🏆20.939%
👎20.939%
💯10.469%

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 213reactions 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 14 November 2023 to 31 July 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

31 Jul 2026, 04:02 UTC≈1,040 views3 reactionsread 29 August 2026
Forwarded from @medicalaccount1Photo

Bootcamp USMLE Step 1 2025 (Videos + PDFs) Bootcamp for USMLE Step 1 Master Medicine with High-Yield Videos, Active Learning & Board-Style Questions Bootcamp for USMLE Step 1 is a comprehensive medical education platform designed to help students master foundational medical sciences through high-yield video lessons, active recall quizzes, and realistic board-style questions. Unlike traditional study resources tha

3

Signed مجاهد السميعي

19 May 2026, 14:30 UTC≈2,200 views2 reactionsread 29 August 2026
Forwarded from @bots772Photo

Exam Real interface Time mode Data synchronization AI 2 days free trail before buying Qbankly is the complete ecosystem: Videos, AI Personal Assistant, and top-tier Qbanks (ᴜWᴏʀʟᴅ, ᴀᴍBᴏꜱꜱ... ) for a fraction of the cost. 👇 INSTANT ACCESS TO PREMIUM QBANKS: ✅ ᴜWᴏʀʟᴅ ✅ ᴀᴍBᴏꜱꜱ ✅ Mᴇʜʟᴍᴀɴ✅Bᴏᴀʀᴅꜱ ᴀɴᴅ Bᴇyᴏɴᴅ 2025 (NEW!) ✅ NBME Step1&2 - CMS Forms ✅ CᴀɴᴀᴅᴀQʙᴀɴᴋ✅ PᴀꜱꜱMᴇᴅɪᴄɪɴᴇ ✅ ᴇMᴇᴅɪᴄɪ ✅ AᴄᴇQʙᴀɴᴋ ✅ ᴍPʟᴜꜱX ...plus USMLE Hig

1👍1

Signed مجاهد السميعي

18 Mar 2026, 21:10 UTC≈3,280 views2 reactionsread 29 August 2026
Forwarded from @medicalaccount1

🎖The Best Medical Courses — The Most Popular Courses of 2026 Now at Discounted Price Heart Rhythm Society Heart Rhythm On Demand Full Program 2025 https://medicalamboss.com/product/heart-rhythm-society-heart/ Houston Methodist 10th Annual Sepsis Symposium Outcomes and Impact of Sepsis 2025 https://medicalamboss.com/product/houston-methodist-10th-annual-sepsis-symposium-outcomes-and-impact-of-sepsis-2025/ Houston

2

Signed مجاهد السميعي

27 Feb 2026, 12:28 UTC≈3,830 views1 reactionsread 29 August 2026
File

File, posted without a caption

👍1

Signed مجاهد السميعي

27 Feb 2026, 12:28 UTC≈3,840 views12 reactionsread 29 August 2026
Photo

Photo, posted without a caption

8👎2🔥2

Signed مجاهد السميعي

27 Feb 2026, 12:28 UTC≈3,950 views19 reactionsread 29 August 2026

التطبيق ده حيساعدك في سنة الامتياز ان شاءلله 🌹 فيه روشتات للحالات ال common و ال management في حالات الطواريء مع خاصية البحث و أسماء الأدوية و تركيزاتها و جرعاتها بيتشغل بدون نت و كل يوم بينضاف عليه جديد و يوصلك بدون الحاجة لتحديث التطبيق ان شاءلله يفيدكم ❤️

🔥15👍31

Signed مجاهد السميعي

25 Dec 2025, 12:43 UTC≈5,200 views5 reactionsread 29 August 2026
Forwarded from @medical_studant1

Differential Diagnosis Abdominal presentation • Abdominal pain • Abdominal mass • Vomitting

4💯1

Signed أصيل الحميدي

18 Jul 2025, 20:11 UTC≈9,810 views6 reactionsread 29 August 2026
Forwarded from @medical_studant1

Differential Diagnosis General Abdominal Neurology Cardiology

6

Signed أصيل الحميدي

26 Dec 2024, 09:35 UTC≈20,700 views23 reactionsread 29 August 2026
File

تطبيق ECG Clnical cases يعرض 100 حاله مختلفه رائع لطلبة الطب

19👍4

Signed مجاهد السميعي

5 Jul 2024, 11:16 UTC≈26,400 views23 reactionsread 29 August 2026
File

تطبيق دليل الأدوية (BNF) .. نسخة شهر يونيو 2024

8👍6🎉5👏4

Signed مجاهد السميعي

1 Jun 2024, 09:50 UTC≈27,500 views9 reactionsread 29 August 2026
File

File, posted without a caption

8👍1

Signed مجاهد السميعي

1 Jun 2024, 09:50 UTC≈26,200 views25 reactionsread 29 August 2026
Photo

Diabetes:M - Management & Blood Sugar Tracker App v9.0.3 MOD APK (Premium) Unlocked (15 MB) سيساعدك هذا التطبيق على إدارة مرض السكري بشكل أفضل وإبقائه تحت السيطرة. سواء كنت من النوع 1 أو النوع 2، أو مصابة بسكري الحمل أو ترغب فقط في مساعدة ومراقبة أحد أفراد العائلة، فهذا هو تطبيق السجل المناسب لك. يتتبع التطبيق جميع جوانب علاج مرض السكري تقريبًا ويزودك بتقارير ورسوم بيانية وإحصائيات مفصلة. يمكنك إرسال التقارير إلى ط

👍1410🏆1

Signed مجاهد السميعي

Showing the 12 most recent of 20 posts we hold for @medical_android. 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 — 1,175,639 of 1,626,711entries 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

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 2 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.

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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“Medical App” (@medical_android), 19,820 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/medical_android.

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.