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Telegram profile photo for 👩‍⚕️صفر تا صد پرستاری👨‍⚕️

Channel

👩‍⚕️صفر تا صد پرستاری👨‍⚕️

@nursing_filess

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

24,550subscribers

+27 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-1001391116901
TypeChannel
Username@nursing_filess
Description📚 @nursing_filess 🛑 بزرگترین ، معتبرترین و علمی ترین کانال پرستاران ✴️ تمامی نکات و فایل ها و فیلم های آموزشی مورد نیاز یک پرستار 💢 آموزش تمام پروسیجر های بالینی #رایگان 🔸 جهت ارتباط با ادمین و مدیریت :👇 🥇 @nursing_edu ✨💫 @flygirll
Created10 February 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/nursing_filess

Topic

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 75% 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

24,51724,57024,543.56 August 2026 — 24,523 subscribers6 August 2026 — 24,523 subscribers8 August 2026 — 24,518 subscribers9 August 2026 — 24,527 subscribers10 August 2026 — 24,525 subscribers11 August 2026 — 24,524 subscribers12 August 2026 — 24,517 subscribers13 August 2026 — 24,520 subscribers14 August 2026 — 24,526 subscribers16 August 2026 — 24,533 subscribers17 August 2026 — 24,535 subscribers18 August 2026 — 24,534 subscribers19 August 2026 — 24,538 subscribers20 August 2026 — 24,536 subscribers21 August 2026 — 24,539 subscribers23 August 2026 — 24,545 subscribers24 August 2026 — 24,546 subscribers26 August 2026 — 24,549 subscribers27 August 2026 — 24,556 subscribers28 August 2026 — 24,560 subscribers29 August 2026 — 24,558 subscribers1 September 2026 — 24,561 subscribers2 September 2026 — 24,556 subscribers3 September 2026 — 24,570 subscribers5 September 2026 — 24,565 subscribers8 September 2026 — 24,559 subscribers11 September 2026 — 24,548 subscribers13 September 2026 — 24,545 subscribers14 September 2026 — 24,549 subscribers16 September 2026 — 24,557 subscribers18 September 2026 — 24,550 subscribers24,5506 August 202618 September 2026
31 measurements spanning 43 days, net +27. 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 24,509–24,578 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
18 Sept 2026, 12:5924,550-7
16 Sept 2026, 07:3724,557+8
14 Sept 2026, 16:4124,549+4
13 Sept 2026, 05:4124,545-3
11 Sept 2026, 11:1524,548-11
8 Sept 2026, 14:3824,559-6
5 Sept 2026, 08:5624,565-5
3 Sept 2026, 09:1624,570+14
2 Sept 2026, 01:0824,556-5
1 Sept 2026, 01:3624,561+3
29 Aug 2026, 22:1624,558-2
28 Aug 2026, 19:2824,560+4
27 Aug 2026, 20:4724,556+7
26 Aug 2026, 22:2424,549+3
24 Aug 2026, 21:5624,546+1
23 Aug 2026, 08:0524,545+6
21 Aug 2026, 21:5524,539+3
20 Aug 2026, 16:2224,536-2
19 Aug 2026, 14:4324,538+4
18 Aug 2026, 17:0324,534first reading

Engagement

135 posts held, back to 10 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.95%
avg views ÷ 24,550 subscribers
Avg views / post
1,710
29 posts measured
Reaction rate
0.264%
reactions ÷ views · ER floor
Posts in window
30
of 135 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 18 of 29 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 28 September 2026
Posts held135 (10 July 2026 – 28 September 2026)
Views total49,449
Reactions total118
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 06:22 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

Photos
≈1,230
Videos
≈1,140
Links
≈164

Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
32m 47s
Average length
6m 33s

Measured directly from 5 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

490 reactions across 95 posts, in 9 distinct kinds. The most used accounts for 66.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤32666.5%
💔7615.5%
👍6012.2%
✍91.84%
😡61.22%
😭51.02%
😨40.816%
🔥20.408%
🤯20.408%

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 97 of the 135 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 510 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 135 most recent posts we hold, published 10 July 2026 to 28 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

28 Sept 2026, 17:44 UTC406 views1 reactionsread 29 September 2026

🔴 بالاخره رونمایی شد! 🔴 🌟 فرصت تخفیف رونمایی در خاص ترین دوره آموزش امبدینگ دنیا رو از دست نده 👇🏻 https://gddr.ir/Embedding-training-course/ 👈🏻

👍1

Signed Mobina🌱

28 Sept 2026, 17:44 UTC330 viewsread 29 September 2026
Photo

🎆 منتشر شد! 🎆 💎 مسترکلاس امبدینگ در مدیریت چاقی و اضافه وزن! 🐉 پلی میان طب چینی و پزشکی مدرن! دوره ای از انتخاب نقطه و گزینش بیمار تا طراحی پروتکل، تکنیک و ایمنی 🐲 📉 35% تخفیف ویژه رونمایی، فقط تا جمعه، 10 مهر ماه ⚠️ 🔗 ثبت‌نام با ۳۵٪ تخفیف رونمایی + مشاهده جزئیات دوره ⬇️ 🐉 https://GDDR.ir/Embedding-training-course/ 🐲 پشتیبانی و پاسخ به سوالات: @GDDR_SUPPORT 👌 وبسایت رسمی آکادمی: WWW.GDDR.IR 👊 چنل آموز…

Signed Mobina🌱

28 Sept 2026, 10:54 UTC165 viewsread 28 September 2026

💥از وبینارهای #رایگان ویژه ارشد 1406 جانمونید🤩👆

Signed Mobina🌱

28 Sept 2026, 10:54 UTC128 viewsread 28 September 2026
Photo

🥴😓تو که کشش ارشد نداری!!! مگه نمی‌بینی فلانی با روزی ۱۰ ساعت درس خوندن هم قبول نشد؟! 👀🫵🫵اینا همون حرف‌ها و انرژی‌منفی‌هاییه که اگه امروز تکلیفت رو با آینده و هدفت مشخص نکنی، قراره سال‌ها تو استیشن پرستاری و جمع همکارا بشنوی و حسرت بخوری!😥😥 🌱🌱✨ما در آکادمی جوانه، وبینارهای رایگان شروع مسیر قبولی رو با حضور رتبه برترها برات آماده کردیم 🤩😎همین الان عضو کانال شو، کلمه «رتبه» رو بفرست👇👇👇 ✅ تا لینک وبینار برات باز بشه …

Signed Mobina🌱

24 Sept 2026, 21:10 UTC≈1,870 views11 reactionsread 30 September 2026

⭕️کمبود #ویتامینها: ♦️ #ویتامینB1 یا #تیامین: ♦️ #تیامین در تولید انرژی نقش مهمی دارد و کمبود آن علائمی مانند خستگی مفرط ، اختلال در کارکرد قلب ،دستگاه عصبی، ماهیچه ها، دستگاه گوارش، کاهش وزن، اختلال در ادراک حواس، اختلالات هیجانی، ضعف در اعضای بدن، نامنظمی ضربان قلب ،نارسایی قلبی، ادم و افتالموپلژی می‌شود. در اثر جوشاندن #شیر ویتامین B1 از بین می‌رود.همچنین در افراد #الکلی کمبود تیامین دیده می‌شود. ⭕️ #ویتامینB…

❤9👍2

Signed Mobina🌱

23 Sept 2026, 13:24 UTC≈1,590 views3 reactionsread 30 September 2026

🔰تشخیص های پرستاری در MI ♦️درد ♦️اضطراب ♦️اختلال در تبادلات گازی ♦️اختلال در پرفیوژن کافی ♦️عدم تحمل فعالیت ♦️کمبود آگاهی 📌اقدامات پرستاری: 1⃣کاهش درد قفسه سینه: استراحت دربستر دروضعیت نیمه نشسته،تجویز اکسیژن،تجویز مسکن مخدر،تجویز نیتروگلیسیرین 2⃣بهبود عملکرد تنفسی: بررسی صداهاے تنفس،تشویق بیمار به انجام سرفه وتنفس عمیق و.. 3⃣بهبود پرفیوژن بافتی: تشویق بیمار به استراحت دربستر،کنترل نبضها و دمای پوست 4⃣بهبود تحمل…

❤3

Signed Nurse😊

23 Sept 2026, 13:22 UTC≈1,450 views8 reactionsread 30 September 2026

🔰🔰 #چست_تيوب ومراقبتهاي پرستاري 📌چست تيوب يا لوله قفسه سينه يك لوله پلاستيكي انعطاف پذير است كه از طريق يك ست داراي كلمپ وصل به يك باتل ميشود و هيچ ارتباطي بين درون اين لوله و هواي بيرون وجود ندارد . 🔶درون اين باتل بايد آب مقطر استريل و يا نرمال سالين ريخته شود به طوري كه قسمت ديستال لوله 2 سي سي زير سطح آب قرار گيرد در باتل يك ارتباط ديگر با بيرون دارد كه هنگام تنفس بيمار حباب هاي هواي ايجاد شده از اين طريق را به…

❤8

Signed Nurse😊

19 Sept 2026, 14:05 UTC≈2,080 views4 reactionsread 30 September 2026

🤔معیار نمره دهی آپگار چیه؟ چجوری باید حساب بشه ؟ ـ🔸A به معنی Appearance:آنچه به چشم پزشک و ماما از ظاهر نوزاد می‌آید که به صورت زیر نمره گذاری می شود : نمره 0⃣ : کبود و یا رنگ‌پریدگی سراسر بدن نمره 1⃣ : فقط کبودی دست ها و پا ها با تنه صورتی (آکروسیانوز) نمره 2⃣ : بدون هرگونه سیانوز (رنگ طبیعی صورتی در همه بدن) ـ🔹P به معنی Pulse یا تعداد ضربان قلب که به صورت زیر نمره گذاری می شود : نمره 0⃣ : بدون نبض یا ضربان قلب …

❤4

Signed Nurse😊

19 Sept 2026, 14:05 UTC≈1,700 views2 reactionsread 30 September 2026

طبقه‌بنـدی دیـورتـیـک‌ها 🟢 دیورتیک‌های اسموتیک : مانیتول 🔵دیورتیک‌های قوس هنله (مدرهای لوپ هنله) مانند فورزماید و اتاکرینیک اسید و بومتانید 🟣تیازیدها مانند هیدروکلرتیازید و کلروتالیدون 🔴مهارکننده آنزیم کربنیک انیدراز : استازولامید، دورزولامید، برنیزولامید 🟠دیورتیک‌های نگهدارنده پتاسیم که دو گروه‌ند 🔸آنتاگونیست‌های آلدوسترون مانند اسپیرنولاکتون و اپلرنون و 🔸بلوک‌کننده‌های کانال سدیم مانند تریامترن و آمیلوراید ⚪د…

❤2

Signed Nurse😊

16 Sept 2026, 16:20 UTC≈2,620 views7 reactionsread 30 September 2026

✅ معرفی #داروهای_مصرفی_بیماران_دیالیزی 🔴 کلسیتریول (روکاترول) این دارو فرم فعال ویتامین D3 می باشد . برای درمان سطح پائین کلسیم خون و باعث کاهش سطح بالای هورمون پاراتیروئیدی PTH می شود . طبق تجویز از طریق خوراکی یا تزریقی مورد استفاده قرار می گیرد. نحوه مصرف : معمولاً طبق دستور برای تاثیر بهتر بعد از دیالیز مصرف می شود. عوارض : خواب آلودگی ، سردرد، ضعف ، تاری دید، بی اشتهایی ، تهوع ، یبوست شرایط نگهداری : دور از…

❤6💔1

Signed Nurse😊

15 Sept 2026, 08:38 UTC≈2,340 views6 reactionsread 30 September 2026
Photo

#اصطلاحات_رایج_بخش_قلب #ادامه 🆔 @nursing_filess

❤6

Signed Mobina🌱

Showing the 12 most recent of 135 posts we hold for @nursing_filess. 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

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.

Mentions

Named by 4 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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@miniarshadvial · 1,024
#49
انجمن علمی پرستاری دانشگاه آزاد لارستان
@anjoman_lar · 531
#50
👨‍⚕️صفر تا صد بالین_درمان⁦👩‍⚕️⁩
@balin_darman · 15,128
#51
کانال اطلاع رسانی نظام پرستاری سقز
@NezamParastariSaghez · 357
#52
صفر تا صد پرستاری Nurse.MSD
@NurseMSD · 1,922
#53
فایل های پرستاری و مامایی🖤
@nursing_pdf99 · 9,661
#54
pharma118
@pharma118 · 14,289
#55
پراتیک
@PeraticB · 32,294
#56
Ch : Jozve.com backup
@nursing_1398 · 241 (as read 16 September 2026)
#57
☫سراج | علوم پزشکی شهرکرد
@Basij_Skums · 570
#58
🏨 پراتیک و بیمارستان
@peratical · 10,464
#59
استخدامی پرستاری | نرسینگ تست
@nursingtest99 · 12,450
#60
زبان وزارت بهداشت ۱۴۰۵
@ellipsis1400 · 9,075
#61
Medical_PDF💉
@pdfvahidzali · 87,745
#62
آمادگی دکتری پرستاری
@phdofnursing · 2,364
#63
نکات اورژانسی بیماریها
@medicalservic · 28,930
#64
medistU | مدیستیو
@medistU · 53,620
#65
💉داروشناسی بالینی💊
@clinicalfarma · 16,097
#66
مهر و ماه پرستاری
@mehromahparastari · 1,190
#67
آمادگی برای امتحان ارتقاء داخلی
@internalupgrade_exams · 2,173
#68
متا | مهارت هایی برای پژوهش
@meta_research1 · 1,992
#69
اخبار وزارت بهداشت
@behdasht_khabar1 · 3,028
#70
مفدا سراب
@sarabmefda · 844
#71
اطلاع رسانی آموزشی
@amouzesh1sarab · 535
#72
مازمد | مرجع آزمون های پرستاری
@mazmed_ir · 9,010
#73
تاسیان
@my_tasian · 197 (as read 16 September 2026)
#74
لغات مهم و تأثیرگذار آزمون های ارشد و دکتری
@only_word1 · 2,738
#75
📚 BS.UMSU
@BasijUmsu · 1,721
#76
مفدا ارومیه
@urmiamefda · 6,479
#77
آموزش تنظیم و میکس مسترینگ | هادی کاشکی
@hadi_kaashkimusic · 5,157
#78
جزوات علوم پزشکی کاشان
@jozveh_kaums · 2,290
#79
آموزش تنظیم، میکس و مسترینگ
@Tabstudio · 3,122
#80
𝘼𝙇𝙋𝙃𝘼 Education Study abroad
@alpha_uni · 1,214
#81
فرتاش - آموزش رایگان گیتار
@fartash_guitar_learning · 4,165
#82
رادیو بوکان
@radiobokan · 9,606
#83
کتاب صوتی جنایت و مکافات
@jenaiatvamokafat_ekvanediv · 4,013
#84
کانال هوش ششم (دکتر لامعی)
@hoosh_6 · 2,877
#85
LIBANIRAN
@libaniran · 7,660
#86
هریس رسا
@herisrasa · 12,646
#87
میم ها و فیلم های ترولی
@mim_trolls · 386
#88
شهرستان ادب
@shahrestanadab · 1,382
#89

Read from Telegram’s recommendation API, most recently 16 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

مراقبتهای ویژه پرستاری
@new_medical · 21,479
Telegram ranks this channel #3 of 81 here — alongside 80 others — read 23 September 2026
پرستار نمونه
@parastar_nemoneh · 26,708
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 12 September 2026
ویال | موسسه تخصصی پرستاری
@vial_tadris · 35,821
Telegram ranks this channel #20 of 97 here — alongside 96 others — read 2 September 2026
فایل پرستاری | Parastari98B
@Parastari98B · 41,646
Telegram ranks this channel #29 of 94 here — alongside 93 others — read 31 August 2026
نکات اورژانسی بیماریها
@medicalservic · 28,930
Telegram ranks this channel #30 of 73 here — alongside 72 others — read 9 September 2026
📞 الو بیمارستان؟
@alo_bimarestan · 29,352
Telegram ranks this channel #34 of 95 here — alongside 94 others — read 8 September 2026
کانال جامع خمین
@khomeynjame · 34,188
Telegram ranks this channel #39 of 54 here — alongside 53 others — read 26 September 2026
Mtproto Narsis
@mtproto_narsis · 35,313
Telegram ranks this channel #43 of 63 here — alongside 62 others — read 2 September 2026
𝕏𝕥𝕖𝕩𝕚𝕔𝕏
@XtexicX · 20,631
Telegram ranks this channel #54 of 55 here — alongside 54 others — read 26 September 2026

This channel appears in 9 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“👩‍⚕️صفر تا صد پرستاری👨‍⚕️” (@nursing_filess), 24,550 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/nursing_filess.

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.