💎دکتر محمد همت
✨جز یک درصد دانشمندان برتر جهان(ESI-ISI)
✅ نویسنده بیش از ۲۰۰ مقاله معتبر ISI
🌏داور ۶۵ مجله بین المللی (ISI)
🌿 آموزشهای رایگان و دوره های هوش مصنوعی
✨️ادمین پشتیبان و سوالات :
🆔️ @suppai2
Created
Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
10 measurements spanning 8 days, net -140. 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 17,291–17,473 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 00:45
17,312
-19
13 Aug 2026, 17:38
17,331
-34
12 Aug 2026, 14:27
17,365
-10
11 Aug 2026, 17:35
17,375
-7
10 Aug 2026, 16:27
17,382
-17
9 Aug 2026, 19:11
17,399
-12
8 Aug 2026, 19:38
17,411
-16
7 Aug 2026, 19:42
17,427
-25
6 Aug 2026, 16:40
17,452
no change
6 Aug 2026, 15:03
17,452
first reading
Engagement
30 posts held, back to 17 June 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 21 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
8.01%
avg views ÷ 17,312 subscribers
Avg views / post
1,390
19 posts measured
Reaction rate
0.229%
reactions ÷ views · ER floor
Posts in window
19
of 30 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 17 of 19 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 15 August 2026
Posts held
30 (17 June 2026 – 15 August 2026)
Views total
26,360
Reactions total
55
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 10:59 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
305
Videos
194
Links
282
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
21s
Average length
21s
Measured directly from 1 video 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
78 reactions across 23 posts, in 4 distinct kinds. The most used accounts for 85.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
67
85.9%
🔥
5
6.41%
👍
4
5.13%
🙏
2
2.56%
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 27 of the 30 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 78reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 17 June 2026 to 15 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.
🌹این هم پرامپت خلاصه نویسی حرفه ای برای شما عزیزان
😊مراحل استفاده:
1-این فایل را در مدل هوش مصنوعی(GPT, Grokِ،Deepseek و یا هر مدل دیگری) بارگذاری کنید و فقط بنویسید که "این پرامپت را اجرا کن."
2-در قسمت بعد از شما خواسته می شود که #جزوه یا #کتاب یا فایل PDF که می خواهید خلاصه شود را بارگذاری کنید که آن را هم ارسال می کنید.
3-بعد یک سری سوال در مورد میزان فشرده سازی و سایر #جزئیات از شما می پرسد که شما جواب می دهی…
😊یک پرامپت #رایگان حرفه ای دیگر برای خلاصه کردن جزوه، کتاب و ... بزودی در کانال قرار خواهد گرفت.
✅ اکثر ما جزوات و فایل ها را به #هوش_مصنوعی می دهیم و فقط می گوییم که خلاصه کن. خلاصه هم شاید تمیز و مرتب باشه، اما مشکل اینجاست که خلاصهکردن بهتنهایی باعث نمیشه #نکات اصلی منتقل بشه.
💯برای اینکه از خلاصه جزوه یا کتابت حداکثر استفاده رو ببری، باید هوش مصنوعی رو قدم به قدم #هدایت کنی: استخراج #مفاهیم کلیدی، راستی آزما…
💯این هم نظر یکی دیگر از شرکت کنندگان "دوره مسترکلاس پایان نامه و رساله نویسی به کمک هوش مصنوعی" که از تجربه خودشان گفتند.
🌹امیدواریم که دفاع موفقی داشته باشند و مقالشون هم اکسپت بشه.
😊لینک تشریح و تهیه دوره مسترکلاس
http://evand.com/events/master
🌟تخفیف ۳۵ درصدی
Dis35
○┈••••✾•🍀💐☘️•✾•••┈○
کانال دکتر همت در تلگرام و بله
🆔@dr_hemmatt
😊 دیگه نگو «ایدهای برای پایاننامه ندارم»!
⁉️تا حالا شده حس کنی تمام موضوعات خوب، قبلاً توسط دیگران به سرقت رفته؟ استادت میگوید «نوآوری» میخواهد، اما هر ایدهای که به ذهنت میرسد #تکراری است.
✅خبر خوب این است که AI میتواند نقش یک #هماندیش حرفهای را بازی کند؛ به شرطی که درست از آن سوال بپرسی. نه، «به من ۱۰ موضوع پژوهش بده» جواب نمیدهد.
👌تکنیک #طلایی در ۳ گام ساده:
🟣گام اول: به هوش مصنوعی بگو که خودش را جای …
🌹یک دوره آفلاین #جدید و فوق العاده
😔بسیاری افراد #سواد علمی دارند اما نوشتن دقیق به فارسی یا انسجام دادن به متن یا ترجمه قوی یا استانداردکردن متن را بلد نیستند. پس فکر نوشتن #مقاله یا کتاب و یا حتی یک نامه #ساده را هم نمی کنند.
🟣اما ما در حال آماده سازی یک دوره بی نظیر با ۲۵ پرامپت آماده و تدریس جامع #دکترهمت هستیم.
💯دوره جامع بازنویسی، ویرایش، انسجام بخشی و ترجمه #هوشمند متون برای اولین بار در #ایران که اسمش را …
💐این هم تلاش یک مادر خوش ذوق و پیگیر برای اینکه مسیر آینده دختر نوجوانش را بسازه. آفرین به این اراده...
💯لینک تشریح دوره پرامپتک:
https://evand.com/events/promptech
○┈••••✾•🍀💐☘️•✾•••┈○
کانال دکتر همت در ایتا و بله
🆔@dr_hemmatt
🌹با توجه به درخواست های شما عزیزان بزودی دو دوره #رایگان آنلاین با تدریس #دکترهمت برگزار خواهد شد. اطلاع رسانی دوره ها در این کانال انجام خواهد شد.
۱. دوره آموزش نگارش و ارسال مقالات #کنفرانسی و #همایشی با کمک هوش مصنوعی
۲. دوره بهره گیری از هوش مصنوعی برای #والدین و معلمان
○┈••••✾•🍀💐☘️•✾•••┈○
کانال دکتر همت در تلگرام و بله
🆔@dr_hemmatt
⛔️بررسی علل اصلی #ریجکت مقالات علمی
👌مطالعات بر روی هزاران مقالهی ردشده، سه عامل کلیدی را به عنوان شایعترین دلایل #ریجکت مقالات شناسایی کردهاند:
۱. عدم تطابق با حیطه و سیاستهای #مجله:
✅بسیاری از مقالات علیرغم داشتن محتوای #ارزشمند، به دلیل انتخاب نادرست مجله، در مرحلهی سردبیری رد میشوند. تطابق هدف #مقاله با چشمانداز مجله، نخستین شرط ورود به فرایند #داوری است.پس دقت کنید
۲. نبود #نوآوری علمی و ارزش افزوده:
…
😎ابرپرامپت #استعدادیابی و کشف هوش افراد
🌹اول؛ این ابرپرامپت ارزشمند حاصل زحمت چندماهه یکی از شرکت کنندگان دوره #پرامپتک دکتر همت(لینک) هست که لطف کرده و بصورت #رایگان اجازه انتشار داده. حداقل ارزش این #ابرپرامپت ۴ میلیون تومان هست.
👌دوم: یادتون اگه باشه ما یک پرسشنامه دادیم و گفتیم # برای فرزندتون کامل کنید تا بتونید با این پرامپت کار کنید. اگه پرسشنامه را ندارید، اینجا کلیک کنید و دانلودش کنید. حتما وقت بزارید و پ…
🌷فقط تا #شهریور برای نوشتن پایان نامه وقت داشتم!! سرعتم ۵ برابر شد...😃
✅این هم نظر یکی دیگر از شرکت کنندگان دوره مسترکلاس پایان نامه و رساله نویسی.
🔹تشریح و تهیه دوره مسترکلاس:
http://evand.com/events/master
🔸لینک تهیه فلش طلایی تمام دوره ها
https://evand.com/events/flash
🎁کد تخفیف ۴۵ درصدی (موقت)
Dis45
#رضایت
○┈••••✾•🍀💐☘️•✾•••┈○
🔰 کانال دکتر همت در ایتا و بله:
🆔 @dr_hemmatt
🌷نحوه استفاده از پرامپت معلم خصوصی که در پست قبل براتون گذاشتیم
❤2
Showing the 12 most recent of 30 posts we hold for @dr_hemmatt. 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 — 291,425 of 1,481,217entries 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.
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 6 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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“💠Dr. Hemmat💠” (@dr_hemmatt), 17,312 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/dr_hemmatt.
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.