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Channel

موضوعات علمی-پژوهشی طبی

@scientificandmedicalupdates

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

803subscribers

+0 since we began measuring on 17 September 2026

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

Register entry

Telegram ID-1001422895797
TypeChannel
Username@scientificandmedicalupdates
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 September 2026
Last confirmed live19 September 2026
Measurements held2
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/scientificandmedicalupdates

Growth

80317 September 2026 — 803 subscribers19 September 2026 — 803 subscribers17 September 202619 September 2026
2 measurements spanning 2 days. 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 802–804 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 08:57803no change
17 Sept 2026, 20:22803first reading

Engagement

20 posts held, back to 4 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.

ERR · 30 days
19.8%
avg views ÷ 803 subscribers
Avg views / post
159
4 posts measured
Reaction rate
1.35%
reactions ÷ views · ER floor
Posts in window
4
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. It is computed over the 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 September 2026
Posts held20 (4 July 2026 – 17 September 2026)
Views total637
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Sept 2026, 20:22 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
15s
Average length
5s

Measured directly from 3 videos 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

52 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 80.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4280.8%
👍611.5%
👏47.69%

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 15 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 52 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 4 July 2026 to 17 September 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

17 Sept 2026, 15:17 UTC51 views5 reactionsread 17 September 2026

چند روز پیش بیمار جوانی داشتیم، که با تورم و قرمزی زانوی چپ آمده بود. بشدت از درد به خود می‌پیچید و گریه می‌کرد. تمام خواسته‌اش این بود که دردش را تسکین دهیم. پس از طی اقدامات تشخیصی، مشخص شد زانو عفونت کرده است. او همچنان از درد فراوان گریه می‌کرد و من هم در همین حین به این فکر می‌کردم که فتبارک الله أحسن الخالقین. چه نعمت بزرگیست این درد. نعمت و خلقتی شگفت‌انگیز که هر بار تو را به یاد ظرافت آفرینش خداوند می‌اندازد.…

❤5

28 Aug 2026, 11:00 UTC191 views0 reactionsread 17 September 2026
Forwarded from @Gangenahitebi

Posted without readable text

Signed Mohammad Ehsan Forotan Saeedy

28 Aug 2026, 07:38 UTC201 views1 reactionsread 17 September 2026
Photo

APGAR SCORE

❤1

Signed Mohammad Ehsan Forotan Saeedy

28 Aug 2026, 07:38 UTC194 viewsread 17 September 2026

یک روش آسان، سریع، بدون هزینه برای ارزیابی نوزادان در دقایق اول بعد از ولادت، عبارت از Apgar Score میباشد. عبارت از یک روش کلینیکی برای ارزیابی سریع وضعیت نوزاد بعد از تولد است که اساساً بخاطر تعیین اینکه نوزاد چقدر با حیات خارج رحمی تطابق دارد و اینکه آیا کاملاً سالم است یا نیاز به مراقبت های ویژه و یا احیاء بعد از ولادت دارد، یا خیر . این معیار کلینیکی در دقایق اول و پنجم بعد از ولادت بررسی میشود شامل پنج مولفه یا …

Signed Mohammad Ehsan Forotan Saeedy

24 Aug 2026, 19:50 UTC197 views10 reactionsread 17 September 2026

#از_اخلاق والا و بزرگ‌منشی و مهربانی اش بخوانیم: هفت آسمان را دَر نَوَر دیده به سدرة المنتهی رسیده و به جایی رفته که چشم بشر آنجا ندیده، اما با این همه عِزتّ و شکوه اش چنان فروتن است که وقتی از عرش به فرش باز میگردد: کفش هایش را خودش میدوزد، گوسفندانش را خودش میدوشد، بر روی حصیر خشک میخوابد و فقراء و بی نوایان را در می یابد و این تواضع هرگز از منزلتش نمیکاهد. او محمد امین علیه الصلاة والسلام است؛پیام آور رحمت،فر…

❤10

Signed Mohammad Ehsan Forotan Saeedy

14 Aug 2026, 07:56 UTC243 views8 reactionsread 17 September 2026
Photo

استیج بندی یعنی مرحله بندی عدم کفایه مزمن کلیه(CKD) بر اساس GFR

👍6👏2

Signed Mohammad Ehsan Forotan Saeedy

13 Aug 2026, 07:23 UTC232 viewsread 17 September 2026

تصنیف بندیِ امراض ولادی قلب نویسنده: دکتور محمد احسان فروتن سعیدی امراض ولادی قلب به دو کتگوری عمده تقسیم میشوند: 1. Right to Left Shunt (Cyanotic) Congenital Heart diseases 2. Left to Right (Acyanotic) Congenital Heart Diseases امراضی که شامل کتگوری اول یعنی امراض سیانوتیک ولادی قلب با شنت راست به چپ میشوند عبارتند از: 1. T=Tetralogy of Fallot 2. T= Transposition of the Great Arteries 3. T=Tricuspid Atresia …

Signed Mohammad Ehsan Forotan Saeedy

11 Aug 2026, 08:49 UTC186 views1 reactionsread 17 September 2026

پاسخ و تجزیه و تحلیل کیس: چرا اختلال هذیانی (Delusional Disorder) تشخیص گذاشتم: معیار A (وجود هذیان): مریض حداقل به مدت ۱۰ ماه دارای یک هذیان غیرعجیب‌وغریب (non-bizarre) دربارهٔ کنترول شدن توسط امواج همسایه و گذاشته شدن دستگاه ضبط و شنود در خانه اش( که چیز غیرواقعی و یا بدون وجود حقیقی یا فیزیکی نیست) ، میباشد. این باور باوجود دلایل منطقی، ثابت و محکم باقی مانده است. · معیار B (عدم وجود سایر معیارهای اسکیزوفرنیا)…

❤1

Signed Mohammad Ehsan Forotan Saeedy

11 Aug 2026, 08:49 UTC133 viewsread 17 September 2026

کیس کلینیکی طرح کننده: دکتور‌ محمد احسان فروتن سعیدی مریض مرد ۴۲ ساله‌ای است که توسط خانواده به دلیل ((بدگمانی شدید نسبت به همسایه‌اش)) برای ارزیابی روانی مراجعه می‌کند. مطابق برداشت های من از تاریخچه Mental مریض و مصاحبه با مریض و خانمش، حدود ۱۰ ماه است که به‌طور ثابت شخص معتقد است همسایهٔ طبقهٔ بالا با استفاده از دستگاهی در داخل خانه، امواج خاصی به سمت منزل او می‌فرستد تا افکار و رفتار او را کنترول کند. او معتقد ا…

Signed Mohammad Ehsan Forotan Saeedy

11 Aug 2026, 08:49 UTC145 viewsread 17 September 2026

هذیان(Delusion) چیست، شامل کدام انواع و حالات میشود، چگونه تشخیص و یا مطرح میشود؟! نویسنده: دکتور محمد احسان فروتن سعیدی هذیان یا Delusion عبارت از باور یا عقیده کاذب(Fixed false belief) است که اعتقاد به آن شدید اما اساس نامناسب دارد. این عقیده با بحث کردن، توضیح دادن، یا دلیل آوردن مخالف و حتی از نظر علمی توجیه کردن، قابل تغییر نمیباشد و این عقیده با هوش در زمینه فرهنگی شخص هماهنگ نمیباشد. هذیان ها میتوانند عجیب و…

Signed Mohammad Ehsan Forotan Saeedy

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

Republishes

Channels on the register whose posts this channel has forwarded.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

گنجینه های طبی📔👨‍⚕️📚
@Gangenahitebi · 24,587
Telegram ranks this channel #14 of 86 here — alongside 85 others — read 19 September 2026
کریکولم طب معالجوی
@MedicineCurriculum · 23,786
Telegram ranks this channel #15 of 80 here — alongside 79 others — read 17 September 2026

This channel appears in 2 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“موضوعات علمی-پژوهشی طبی” (@scientificandmedicalupdates), 803 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/scientificandmedicalupdates.

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.