در شرکت زعفران ماه چین به دنبال همتیمی جدید هستیم. 🌱 🔹 کارشناس شبکههای اجتماعی 🔹 کارشناس دیجیتال مارکتینگ (SEO) 📍همدان رزومهات رو از طریق لینک زیر ارسال کن👇 🔗 صفحه استخدام ماه چین در جابینجا

Channel
Mansoorm_Courses
@mansoorm_courses
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
685subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001009443555 |
|---|---|
| Type | Channel |
| Username | @mansoorm_courses |
| Created | Between 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/mansoorm_courses |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 05:43 | 685 | no change |
| 7 Aug 2026, 02:30 | 685 | first reading |
Engagement
17 posts held, back to 2 February 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 · 30 days
- 64.4%
- avg views ÷ 685 subscribers
- Avg views / post
- 441
- 5 posts measured
- Reaction rate
- 2.78%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 17 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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 August 2026 |
|---|---|
| Posts held | 17 (2 February 2026 – 1 August 2026) |
| Views total | 2,205 |
| Reactions total | 55 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 02:30 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
193 reactions across 15 posts, in 13 distinct kinds. The most used accounts for 30.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👎 | 59 | 30.6% | |
| ❤ | 50 | 25.9% | |
| 🤣 | 28 | 14.5% | |
| 👍 | 19 | 9.84% | |
| 😁 | 11 | 5.70% | |
| 🔥 | 7 | 3.63% | |
| 👏 | 6 | 3.11% | |
| 💔 | 3 | 1.55% | |
| 😢 | 3 | 1.55% | |
| 🙏 | 3 | 1.55% | |
| 🤔 | 2 | 1.04% | |
| 🤨 | 1 | 0.518% | |
| 🤯 | 1 | 0.518% |
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 17 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 193reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 2 February 2026 to 1 August 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
نسخه 1.2 با انجام ویرایش های مختصر و برخی پیشنهادها آماده است. کد منبع لاتک آن را هم می توانید از گیتهاب به نشانی زیر دریافت نمایید https://github.com/cse-teacher/ai_based_research #عمومی #علمی #آموزشی #کتاب #راهنما #پژوهش #سمینار #درس #کارشناسی_ارشد
❤10
📚 راهنمای پژوهش در عصر هوش مصنوعی فایل PDF راهنمای عملی برای انجام پژوهش با کمک ابزارهای هوش مصنوعی آماده شده که فکر میکنم برایتان مفید باشد. این کتاب گامبهگام نشان میدهد در هر مرحله از فرایند پژوهش — از انتخاب موضوع تا مرور پیشینه، طراحی روش، گردآوری و تحلیل داده، و در نهایت نگارش و انتشار — کدام ابزار هوش مصنوعی مناسب است و چگونه باید از آن استفاده کرد؛ همراه با مثالهای عملی و الگوهای آمادهی دستور (Prompt)…
❤7🙏3👍2
موش و گربه بازی در برگه امتحان بعضی وقت ها در برگه های امتحان نوشته ها و رفتارهای عجیبی می بینم و به این فکر می کنم که نویسنده این پاسخ ها در چه دنیایی سیر می کرده! گاهی از سر دل سوزی احساس وظیفه می کنم که باید صدایش کنم، با او گفتگو کنم و مثلا موارد جدی را به مرکز مشاوره ارجاعش دهم ... تا اینکه به طور اتفاقی این ویدیو را دیدم و متوجه شدم این رفتار کاملا آموزش یافته و الگوریتمی است. https://www.aparat.com/v/aej2fhj…
🤣16
دانشجویان عزیز، به دلیل مشکلات مداوم در دسترسی به تلگرام، تا اطلاع ثانوی از پیامرسان «بله» استفاده خواهم کرد. لطفاً من را در بله با آیدی زیر اضافه کنید: @mansoorm کانال درس ما در بله: @mansoorm_courses خواهشمندم به کانال بپیوندید و برای هرگونه ارتباط مربوط به درس، از همان جا با من در تماس باشید. با تشکر از همراهی شما با احترام الطلاب الأعزاء، نظراً لاستمرار مشاكل الوصول إلى تطبيق تيليجرام، سأستخدم تطبيق «بله» …
😁10👎4👍2💔1
پیام دریافتی: سلام آقای دکتر، شبتون بخیر یکی از دوستان نیاز به افرادی برای پر کردن پرسشنامه برای رسالهی دکتر داشتن میخواستم بدونم امکانش هست که پیام رو داخل کانالتون قرار بدید؟ 🎓 🎓 یک فرصت استثنایی برای شناخت دقیق سلامت روان خود؛ کاملاً رایگان این پرسشنامه برای رساله دکتری روانشناسی بالینی دانشگاه شیراز طراحی شدهاست. اطلاعات موجود در پرسشنامه کاملاً محرمانه بوده و صرفاً در قالب ارقام آماری استفاده خواهد شد. 💳…
❤3👍1🔥1
پیام وارده: https://t.me/The_Yasa درود و مهر🤍 جمعی از دوستان بلاخره تونستیم فروشگاه خودمون رو راه بندازیم، در حال حاضر محصولاتمون پرفیوم. بادیاسپلش و عطر هستن، خوشحال میشیم همراه ما باشید🤍 @The_YASA #عمومی #تبلیغ #کسب_و_کار_دانشجو #معرفی_کسب_و_کار
🔥6❤4🤣3
پیام دریافتی: https://pajuheshelmi.ir/wp-content/uploads/2018/10/BeKiSalamKonam.pdf داستان جالبیه. چند تا داستان دیگه توی کتابش هم هست #عمومی #واکنش #زنگ_تفریح #زنگ_تفکر #مطالعه_آزاد
❤2
داستان کوتاه “به کی سلام کنم؟” نوشتهی سیمین دانشور « واقعا کی ماند که بهش سلام بکنم؟ خانم مدیر مرده، حاج اسماعیل گم شده، یکی یکدانه دخترم نصیب گرگ بیابان شده… گربه مرد، انبر افتاد روی عنکبوت و عنکبوت هم مرد… و حالا چه برفی گرفته! هر وقت برف می بارد دلم همچین می گیرد که می خواهم سرم را بگوبم به دیوار. دکتر بیمه گفت: هر وقت دلت گرفت بزن برو بیرون. گفت: هر وقت دلت تنگ شد و کسی را نداشتی که درد دل کنی بلند بلند با خودت…
❤7😢3💔1😁1
درخواست اگر از همدان به اهواز می روید لطفا خبر دهید زحمت یک پاکت به مقصد دانشگاه شهید چمران را به شما بدهم. متشکرم #عمومی #درخواست
🤣9
سلام این ترم ویدیوها را در یوتیوب هم منتشر می کنم. امیدوارم دانشجویان بین الملل بتوانند دسترسی داشته و استفاده کنند: https://www.youtube.com/@cseteacher23 #عمومی #علمی #آموزشی #درس #آموزش_مجازی #یوتیوب
👎8👏6🤔2
با سلام و احترام با توجه به شرایط کشور، دسترسی من به اینترنت و تلگرام بسیار محدود است. البته همچنان در شبکه های داخلی هستم و با همین شناسه @mansoorm در پیام رسان بومی بله می توانید مرا پیدا کنید. کانال درسهای من هم به این نشانی در دسترس است: https://ble.ir/mansoorm_courses برای همه شما سلامتی و توفیق آرزومندم. #عمومی #خبر #اطلاعیه
❤8👎4
Showing the 12 most recent of 17 posts we hold for @mansoorm_courses. 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 — 929,497 of 1,189,255entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Mansoorm_Courses” (@mansoorm_courses), 685 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/mansoorm_courses.
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.