3 measurements taken within a single day, 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 422–423 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 19:31
422
no change
6 Aug 2026, 12:40
422
-1
6 Aug 2026, 03:06
423
first reading
Engagement
16 posts held, back to 6 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 · 30 days
27.9%
avg views ÷ 422 subscribers
Avg views / post
118
6 posts measured
Reaction rate
0.588%
reactions ÷ views · ER floor
Posts in window
7
of 16 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 1 of 6 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 5 August 2026
Posts held
16 (6 July 2026 – 5 August 2026)
Views total
706
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 19:31 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.
What this channel posts
Photos
≈1,340
Videos
≈80
Links
≈1,030
Lifetime counters from Telegram’s own channel header, read 6 August 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.
Reaction mix
10 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 70.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7
70.0%
👎
2
20.0%
👍
1
10.0%
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 4 of the 16 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 6 July 2026 to 5 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.
با سلام و احترام؛
به استحضار میرساند ویدئوهای ضبطشده کارگاههای آموزشی برگزار شده، جهت بهرهبرداری علمی، به تاریخ برگزاری به ترتیب ذیل در دسترس میباشد:
۱. نحوه نگارش خلاصه مقالات ویژه کنگره
لینک دسترسی
۲. از ایده تا پروپوزال ، مسیر تدوین طرح پژوهشی
لینک دسترسی
۳. Clear and scientific writing
لینک دسترسی
۴. راهکار های افزایش مقاومت روانی در برابر مشکلات
به زودی
۵. سرآمدی و مرجعیت علمی
به زودی
۶. Systematic R…
دبیرخانه ۲۷ـمین کنگره ملی و ۱۳ـمین کنگره بینالمللی پژوهش و فناوری دانشجویان علوم پزشکی کشور کرمان- ۱۴۰۵ با همکاری کمیته های تحقیقات و فناوری کلان منطقه 8:
وبینار «هنر ارائه ؛ اصول ارائه و سخنرانی علمی»
مدرس: دکتر مسعود رضایی
پزشک عمومی _ پژوهشگر مرکز تحقیقات بیماری هیداتید دانشگاه علوم پزشکی کرمان
️ زمان: پنج شنبه ۱۵ مرداد ماه ۱۴۰۵
ساعت : ۱۸:۰۰
لینک ثبت نام : https://ksrc.kmu.ac.ir/fa/formadd/66505/-هنر-…
«پویش ملی دانشجویان پژوهشگر و فناور علوم پزشکی کشور؛دوستدار و حامی محیط زیست»
کمیته تحقیقات و فناوری دانشجویی دانشکده علوم پزشکی تربت جام با همکاری کمیتههای تحقیقات و فناوری دانشجویی دانشکده های علوم پزشکی اسفراین ، مراغه و دانشگاه علوم پزشکی قزوین برگزار میکند:
🍃 از ریشههای اصیل تا آیندهای سبز...
📸 مسابقه عکاسی و طراحی پوستر
با موضوع: «اصالت ایرانی؛ سبک زندگی بدون پلاستیک»
اگر نگاه خلاق، ایدهای نو یا قابی…
🔰کمیتههای تحقیقات و فناوری دانشجویی دانشگاه علوم پزشکی یاسوج، تربتحیدریه، بوشهر، هرمزگان، جهرم، گراش، فسا، لارستان، غرب هرمزگان و آکادمی مدسا برگزار میکنند
🎓دوره پروپوزالنویسی و مقالهنویسی با هوش مصنوعی
📚سرفصلهای دوره
1⃣مبانی پژوهش و انتخاب موضوع
2⃣طراحی پژوهش و نگارش پروپوزال
3⃣مدیریت منابع و رفرنسنویسی
4⃣نگارش مقاله علمی
5⃣ویرایش علمی و انتشار مقاله
6⃣ابزار هوش مصنوعی در پژوهش
🗓 زمان برگزاری:
۱۷ لغایت ۳۱ …
کمیته تحقیقات و فناوری دانشجویی دانشگاههای علوم پزشکی قزوین، گلستان، دزفول و یزد برگزار میکند:
✨ جلسه دوم از دوره «فراتر از مرور»
🔶️ عنوان : کارگاه تخصصی مرور محدود (Scoping Review)
آیا میخواهید روشهای پیشرفته مرور ادبیات علمی را بیاموزید و درک عمیقتری از پژوهشهای موجود در رشته خود به دست آورید؟ این کارگاه برای شماست! 🧠💡
با حضور استاد گرامی:
👩🏫 سرکار خانم دکتر فاطمه مهرآور
(استادیار اپیدمیولوژی دانشگاه علو…
🔴 کمیته تحقیقات و فناوری دانشجویی دانشگاههای علوم پزشکی قم و گلستان با همکاری یکدیگر برگزار میکنند:
🔰 کارگاه شروعی برای پژوهش
🔰 محورهای کارگاه:
◽️ آشنایی با مسیر ورود به دنیای پژوهش
◽️ نحوه انتخاب ایده و موضوع پژوهشی
◽️ آشنایی با مراحل انجام یک طرح تحقیقاتی
◽️ نکات کاربردی برای دانشجویان علاقهمند به فعالیتهای پژوهشی
◽️ مسیر رشد پژوهشی و ورود به فعالیتهای علمی دانشجویی
✅ مدرس:
🔺 سرکار خانم صبا پولائی
🔸 دانشجوی…
دانشجویان علاقمند جهت دریافت کد تخفیف برای شرکت در این مدرسه مفید به دبیر کمیته تحقیقات و فناوری دانشجویی دانشکده علوم پزشکی تربت جام پیام بدهند
@nstrnpnh
🏫 انجمن هوش مصنوعی در سلامت دانشگاه علوم پزشکی ایران برگزار میکند
💻 اینجا خودت مهندسی هوش مصنوعی میشی
مسیر، تجربه و مهارت رو با هم یاد میگیری
🔝 با تدریس و آموزش نخبگان و اساتید بالینی، فنی و مهندسی کشور
📍با حمایت و جذب عضو برترین اعضا در ایدەهای پروژههای مبتی بر هوش مصنوعی استارتاپ
📌 با صدور سرتیفیکیت معتبر انگلیسی
📍 Online & Offline
⏳ 2026 | 20 Sessions ⏰
🔗 لینک حضور:
📱 https://mohit.online/course/eg07…
مسیر ثبت اختراع از ایده تا اجرا 💡⚖️
پژوهشگران گرامی؛ آیا میدانید چگونه ایدههای نوآورانه خود را به یک «اختراع ثبتشده» تبدیل کنید؟
مدیریت توسعه فناوری سلامت دانشگاه علوم پزشکی گیلان با همکاری کمیته تحقیقات و فناوری دانشجویی علوم پزشکی گیلان و مرکز رشد برگزار میکند.
وبینار آموزشی و تخصصی :
آشنایی ثبت اختراع : قوانین، الزامات و معیارهای پذیرش
🗓 زمان: یکشنبه ۲۱ تیرماه ۱۴۰۵
🕙 ساعت: ۱۰ الی ۱۲
🎤 مدرس: خانم مرضیه رحم…
Signed Nastaran Panahi
Showing the 12 most recent of 16 posts we hold for @TRJRC. 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 — 35,594 of 1,151,006entries 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 23 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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“کمیته تحقیقات و فناوری دانشجویی تربت جام” (@TRJRC), 422 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/TRJRC.
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.