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Channel

SCMED.ABZUMS.SNM

@Scmed_abzums_NRS

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

306subscribers

-1 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002166261332
TypeChannel
Username@Scmed_abzums_NRS
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Scmed_abzums_NRS

Growth

306307306.56 August 2026 — 307 subscribers6 August 2026 — 307 subscribers14 August 2026 — 306 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net -1. 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 306–307 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 20:56306-1
6 Aug 2026, 22:31307no change
6 Aug 2026, 20:48307first reading

Engagement

13 posts held, back to 17 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.8%
avg views ÷ 306 subscribers
Avg views / post
76.0
1 post measured
Reaction rate
6.58%
reactions ÷ views · ER floor
Posts in window
1
of 13 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 20 July 2026
Posts held13 (17 June 202620 July 2026)
Views total76
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 22:31 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

41 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 61.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2561.0%
👍922.0%
🔥37.32%
🙏37.32%
🤩12.44%

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 12 of the 13 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 41reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 17 June 2026 to 20 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

20 Jul 2026, 17:54 UTC76 views5 reactionsread 6 August 2026
Forwarded from @SCMED_ABZUMSPhoto

📢کمیته های دانشجویی توسعه آموزش علوم پزشکی دانشگاه جندی شاپور اهواز و دانشگاه علوم پزشکی البرز برگزار می کنند 📚کارگاه آشنایی با مهارت یادگیری خودراهبر 🗣مدرس: 👩🏻‍⚕سرکار خانم سارا حیدری 🎖دانشجوی دکتری تخصصی آموزش پزشکی 📌سرفصل های کارگاه: 🔹آشنایی با مبانی و اصول یادگیری خودراهبر در آموزش علوم پزشکی 🔸طراحی و اجرای برنامه یادگیری شخصی 🔹راهبردهای موثر یادگیری، مدیریت زمان و استفاده از ابزارهای نوین 🔸خود ارزیابی، بازخورد

3👍2

14 Jul 2026, 19:05 UTC109 views4 reactionsread 6 August 2026
Forwarded from @SCMED_ABZUMSPhoto

📢مرکز مطالعات و توسعه آموزش علوم پزشکی، کمیته دانشجویی توسعه آموزش علوم پزشکی و دفتر توسعه آموزش علوم پزشکی دانشکده پرستاری و فوریت های پزشکی دانشگاه علوم پزشکی البرز برگزار می کند: 🔍دوره ۵ روزه آشنایی با مقدمات مطالعه کیفی 📆 از ۲۷ تا ۳۱ تیر ۱۴۰۵ 🗣 مدرسان: 👩🏻‍⚕️خانم دکتر مریم آقابراری 🎖عضو هیئت علمی دانشکده پرستاری و فوریت‌های پزشکی البرز 👩🏻‍⚕️خانم دکتر زهرا طیبی 🎖عضو هیئت علمی دانشکده پرستاری و فوریت‌های پزشکی ال

2👍1🔥1

12 Jul 2026, 13:57 UTC116 views3 reactionsread 6 August 2026
Forwarded from @SCMED_ABZUMS

‼️یادآوری‼️ 📚روش های مطالعه در دروس علوم پزشکی و آمادگی امتحانات 📌سرفصل ها: 🔹اصول کلی مطالعه‌ی مؤثر 🔸اشتباهات رایج در مطالعه و مرور 🔹روش‌های افزایش یادگیری و ماندگاری مطالب 🔸برنامه‌ریزی مطالعه در طول ترم 🔹روش‌های مطالعه در ایام امتحانات 🔸تکنیک‌های افزایش تمرکز، بازدهی و مدیریت زمان  📆 یکشنبه ۲۱ تیر ۱۴۰۵ ⏰ ساعت ۱۸ 🔗جهت دریافت لینک شرکت در کارگاه، در گروه عضو شوید. ✨با ما همراه باشید... #در_مسیر_توسعه 🌀 کمیته دانشج

3

10 Jul 2026, 19:37 UTC131 views5 reactionsread 6 August 2026
Forwarded from @SCMED_ABZUMSPhoto

📢کمیته های دانشجوی توسعه آموزش علوم پزشکی دانشگاه های علوم پزشکی قم، البرز، ارتش و فسا برگزار می کنند: 📚روش های مطالعه در دروس علوم پزشکی و آمادگی امتحانات 🗣مدرسان: 👨🏻‍⚕️آرمین درخشانفر 🎖دبیر کارگروه منتورینگ کمیته دانشجویی توسعه آموزش دانشگاه علوم پزشکی البرز 🎖منتور و دستیار استاد در رشته پزشکی 👨🏻‍⚕️عرشیا بهرامی 🎖دبیر کمیته دانشجویی توسعه آموزش دانشکده پرستاری و فوریت های پزشکی علوم پزشکی البرز 🎖منتور رشته پرستاری

3🔥1🤩1

6 Jul 2026, 19:41 UTC134 views2 reactionsread 6 August 2026
Forwarded from @SCMED_ABZUMS

💊 مصرف دارو، ساده‌تر و آگاهانه‌تر... اگر دوست دارید درباره مصرف صحیح داروها، تداخلات مهم (بخصوص در افراد مصرف کننده بیش از 3 دارو در طول روز)، عوارض قابل پیشگیری و باورهای نادرست رایج، مطالبی ساده، کاربردی و علمی بخوانید، کانال «راهنمای ساده مصرف دارو» را از دست ندهید. این کانال توسط سرکار خانم دکتر آزاده خلیلی، متخصص فارماکولوژی و عضو هیأت علمی دانشگاه علوم پزشکی البرز، با هدف ارتقای سواد دارویی جامعه راه‌اندازی شد

1👍1

28 Jun 2026, 16:00 UTC587 views3 reactionsread 6 August 2026
File

🔖گواهی 🧠سلسله کارگاه های مراقبت ویژه مغز و اعصاب 📝براساس آخرین گایدلاین ها ✨با ما همراه باشید... #در_مسیر_توسعه 🌀کمیته دانشجویی توسعه آموزش علوم پزشکی دانشکده پرستاری و فوریت‌های پزشکی دانشگاه علوم پزشکی البرز 🆔 @SCMED_ABZUMS_NRS 🆔 Instagram

1👍1🔥1

28 Jun 2026, 15:49 UTC176 views1 reactionsread 6 August 2026
Photo

📚ژورنال‌کلاب 📌نشست ژورنال کلاب با عنوان 📝 Comparative efficacy of pharmacological and non-pharmacological interventions for mitigating pain and anxiety associated with venipuncture: a randomised controlled trial با راهبری: 🔹خانم دکتر سیما سادات حجازی 🎖عضو هیئت علمی دانشکده پرستاری و فوریت‌های پزشکی البرز و ارائه: 🔹خانم سارا مجرد 🎖دانشجوی کارشناسی ارشد پرستاری مراقبت‌های ویژه علوم پزشکی البرز در روز سه‌شنبه ۲ تیر ۱۴

1

23 Jun 2026, 07:23 UTC≈2,250 views4 reactionsread 6 August 2026
Photo

📢کمیته دانشجویی توسعه آموزش علوم پزشکی با همکاری کمیته تحقیقات و فناوری دانشجویی دانشکده پرستاری و فوریت‌های پزشکی البرز برگزار میکند: 📚ژورنال‌کلاب 📝 Comparative efficacy of pharmacological and non-pharmacological interventions for mitigating pain and anxiety associated with venipuncture: a randomised controlled trial 📌استاد راهنما: 🔹خانم دکتر سیما سادات حجازی 🎖عضو هیئت علمی دانشکده پرستاری و فوریت‌های پزشکی البرز

3🙏1

22 Jun 2026, 09:00 UTC148 views2 reactionsread 6 August 2026
Forwarded from @SCMED_ABZUMSPhoto

💻✨ تابستون امسال، وقتشه یه مهارت واقعی یاد بگیری! کمیته توسعه آموزش علوم پزشکی ایلام با همکاری کمیته‌های توسعه آموزش دانشگاه‌های علوم پزشکی شیراز، یزد، زاهدان، گیلان،البرز، اردبیل، اسدآباد، شوشتر و فسا، به‌زودی دوره تابستانی آموزش مهارت‌های هفتگانه کامپیوتر (ICDL) را برگزار می‌کند. ✅ آموزش از پایه تا پیشرفته ✅ مناسب دانشجویان تمامی رشته‌ها ✅ همراه با ارائه گواهی معتبر ❤️‍🔥 اگه می‌خوای در کنار تعطیلات تابستون، مهار

1👍1

17 Jun 2026, 12:39 UTC≈1,520 views5 reactionsread 6 August 2026
Photo

📚ژورنال‌کلاب 📌نشست ژورنال کلاب با عناوین 📝 The impact of two distinct endotracheal tube fixation on the formation of pressure ulcer in the intensive care unit: A randomised controlled trial 📝 Brain protective effect of dexmedetomidine vs propofol for sedation during prolonged mechanical ventilation in non-brain injured patients با راهبری: 🔹خانم دکتر سیما سادات حجازی 🎖عضو هیئت علمی دانشکده پرستاری و فوریت‌های پزشکی ا

3👍1🙏1

17 Jun 2026, 12:00 UTC≈1,360 views3 reactionsread 6 August 2026
Photo

🔍 کارگاه بررسی اختلالات تیروئید در مراقبت‌ویژه 🩺تیروئید، فرمانده پنهان متابولیسم 📌کارگاه بررسی اختلالات تیروئید در مراقبت‌ویژه با تدریس: 👩🏻‍⚕️خانم دکتر سیما سادات حجازی 🎖عضو هیئت علمی دانشکده پرستاری و فوریت های پزشکی البرز 👩🏻‍⚕️خانم نگین حسینی 🎖دانشجوی کارشناسی ارشد پرستاری مراقبت‌های ویژه دانشگاه علوم پزشکی البرز در روز چهارشنبه ۲۷ خرداد ۱۴۰۵ در بستر اسکای‌روم برگزار شد. ✨با ما همراه باشید... #در_مسیر_توسعه 🌀کمیت

1👍1🙏1

17 Jun 2026, 07:43 UTCviews —

SCMED.ABZUMS.SNM pinned «‼️یادآوری‼️ 📚ژورنال‌کلاب 📝 The impact of two distinct endotracheal tube fixation on the formation of pressure ulcer in the intensive care unit: A randomised controlled trial  📝 Brain protective effect of dexmedetomidine vs propofol for sedation during prolonged…»

Showing the 12 most recent of 13 posts we hold for @Scmed_abzums_NRS. 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 — 443,084 of 1,480,688entries 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

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

Named by 7 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.

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

“SCMED.ABZUMS.SNM” (@Scmed_abzums_NRS), 306 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Scmed_abzums_NRS.

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.