Channel
@Big_nursing
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,313subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003220865283 |
|---|---|
| Type | Channel |
| Username | @Big_nursing |
| Created | Between 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 14 August 2026 |
| On Telegram | t.me/Big_nursing |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 13:02 | 1,313 | -1 |
| 8 Aug 2026, 21:21 | 1,314 | +2 |
| 6 Aug 2026, 08:04 | 1,312 | no change |
| 6 Aug 2026, 03:19 | 1,312 | first reading |
20 posts held, back to 12 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 20 (12 July 2026 – 4 August 2026) |
| Views total | 8,807 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 08:04 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.
اپلیکیشنش رو هم ساختیم که به زودی در کانال میزاریم اگر ببینیم که خوب این محتواها حمایت میشن🫡❤️ ✅️ لطفا برای دوستانتون به اشتراک بزارید تا بیشتر دیده شیم و رایگان این محتواهای یونیک رو براتون بسازیم💎✌️ 📚@Big_nursing📚 🩻@HoshMed🩻
Signed 𝙈𝙀𝙃𝙍𝙕𝘼𝘿
دنیای پرستاری | World of nursing pinned «🧠 محاسبات مایعدرمانی، دیگه حفظی نیست! همکارای عزیز ، دو تا ابزار کاربردی و جمعوجور براتون آماده کردیم که هم توی یادگیری کمکتون کنه، هم بالای سر بیمار. 📚 فلوئیدآموز (FluidAmoz) این یکی مربی جیبی شماست. با فلشکارتهای تعاملی و چالش ۳۰ روزه، محاسبات رو مرحلهبه…»
🧠 محاسبات مایعدرمانی، دیگه حفظی نیست! همکارای عزیز ، دو تا ابزار کاربردی و جمعوجور براتون آماده کردیم که هم توی یادگیری کمکتون کنه، هم بالای سر بیمار. 📚 فلوئیدآموز (FluidAmoz) این یکی مربی جیبی شماست. با فلشکارتهای تعاملی و چالش ۳۰ روزه، محاسبات رو مرحلهبه مرحله میبره توی ناخودآگاهت. یه عالمه سناریوی بالینی هم داره که خودتو محک بزنی. 📱 فلوئیدکالک (FluidCalc) اینم ماشین حساب بالینی سریع و دقیق برای اورژانس، ال…
Signed 𝙈𝙀𝙃𝙍𝙕𝘼𝘿
اصطلاحات رایج تنفسی 🫁 ❓️حالا شما در کامنت بنویسید: تفاوت هایپوکسی و هایپوکسمی چیست؟ کدام یک زودتر اتفاق می افتد؟ 📚@Big_nursing📚
Signed Z.Samaei
یه فایل HTML سبک و جمعوجور که هم فلشکارتهای آموزشی RSI رو داره، هم یه شبیهساز ۱۱ سوالهٔ باحال مثل بازی 🎮❤️🔥 ✅ کاملاً آفلاین و آنلاین قابل استفادهست. ✅ محتوا بر اساس آخرین گایدلاینها. ✅ بدون نیاز به نصب – فقط فایلو دانلود و باز کن. 💡 چی داخلش هست؟ • ۱۵ فلشکارت طلایی RSI (از تعریف تا عوارض)📃🫡 • شبیهساز تعاملی ۱۱ سوال برای محک زدن خودت • نکات بالینی.🫡❤️ 📥 فایل HTML رو میتونی همینجا ذخیره کنی و هر وقت خواست…
Signed Sina
📍پاسخ سوالات #تفکرنقادانه: 📌مسمومیت با>>> دیگوکسین 📌درمان>>> فنی توئین 🔎توضیحات تکمیلی: 🔸دلایل دیس ریتمی های ناشی از مسمومیت با دیگوکسین: 🔸افزایش اتوماتیسیته به علت افزایش کلسیم داخل سلولی>>> تاکی کاردی فوق بطنی 🔸کاهش هدایت AV و پاسخ بطنی آهسته به علت افزایش اثرات واگ در گره AV>>> شایعترین PVC، برادی کاردی سینوسی، Afib آهسته ❗️تاکی کاردی بطنی دو طرفه چند کانونی، PVC بای ژمینه یا تری ژمینه>>> مسمومیت با دیگوکسین مگ…
Poll, posted without a caption
Signed F.Samaei
Poll, posted without a caption
Signed F.Samaei
#تفکرنقادانه با توجه به شرح حال بیمار، به دو سوال زیر پاسخ دهید. 📚@Big_nursing📚
Signed F.Samaei
✅️ پروسیجر بیحسی اپیدورال ☑️ فضای اپیدورال (Epidural Space) فضایی بین «رباط زرد» (Ligamentum flavum) و «سختشامه» (Dura mater) است. هدف از انجام این پروسیجر، قرار دادن کاتتر در این فضا برای تزریق داروی بیحسی است تا اعصاب نخاعی قبل از ورود به سختشامه مسدود شوند. تصویر ست اپیدورال در کامنت کانال 📚@Big_nursing📚
Signed 𝙈𝙀𝙃𝙍𝙕𝘼𝘿
Posted without readable text
Signed 𝙈𝙀𝙃𝙍𝙕𝘼𝘿
#Case_report 🩸بیماری ۳ ساعت پس از پایان ترانسفوزیون دچار موارد زیر شده است: تنگی نفس شدید عدد SpO₂ = 82% تب = 38.5°C مقدار BP = 110/70 mmHg در سمع ریه: کراکل دوطرفه در CXR: ارتشاح دوطرفه ریه همچنین JVP طبیعی و شواهدی از اضافهبار حجمی وجود ندارد پاسخ به زودی 📚@Big_nursing📚
Signed 𝙈𝙀𝙃𝙍𝙕𝘼𝘿
Showing the 12 most recent of 20 posts we hold for @Big_nursing. 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 — 29,203 of 1,481,243entries 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.
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.
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.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“دنیای پرستاری | World of nursing” (@Big_nursing), 1,313 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Big_nursing.
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.