3 measurements spanning 3 days, net -3. 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 1,168–1,171 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 17:03
1,168
-3
6 Aug 2026, 09:34
1,171
no change
6 Aug 2026, 09:23
1,171
first reading
Engagement
19 posts held, back to 10 December 2025 — 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
9.89%
avg views ÷ 1,168 subscribers
Avg views / post
116
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 19 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 20 July 2026
Posts held
19 (10 December 2025 – 20 July 2026)
Views total
231
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 09:34 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
54 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 70.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
38
70.4%
😁
8
14.8%
👍
5
9.26%
👎
2
3.70%
👌
1
1.85%
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 11 of the 19 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 54reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 10 December 2025 to 20 July 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.
مؤسسه ملی توسعه تحقیقات علوم پزشکی ایران (نیماد) با همکاری انجمن علمی اپیدمیولوژیستهای ایران برگزار میکنند:
⭕️ وبینار استفاده مسئولانه از هوش مصنوعی در پژوهشهای علوم پزشکی: کاربردها، ملاحظات اخلاقی و الزامات حقوقی
موضوعات:
📌 اهمیت مساله استفاده از هوش مصنوعی در تحقیقات علوم سلامت
📌 رویکرد و نگاه معاونت تحقیقات وزارت بهداشت در استفاده از هوش مصنوعی در پژوهشها
📌 آشنایی با انواع ابزارهای هوش مصنوعی مولد و کاربرد …
لطفا عزيزان بزرگوار
چنین برنامههایی را جدی بگیرید و حتما شرکت کنید. استفاده مسئولانه از هوش مصنوعی، آموزش میخواهد و همه ما به چنین آموزشهایی نیاز داريم.
مرادی
.
⚜️یازدهمین وبینار چگونه یک مقاله انگلیسی بنویسیم؟⚜️
❌این برنامه بصورت آنلاین برگزار می گردد❌
✔️شرکت کنندگان در این دوره مطالب زیر را فرا میگیرند:
نکات و معیار های نویسندگی
سازمان دهی شکل ها و پیش نویس
نگارش بخش های مختلف
باید ها و نباید های نگارش
تخلف علمی و سرقت ادبی
تعامل موثر با داوران
نحوه موثر نوشتن نامه همراه مقاله
انتخاب مجله هدفِ معتبر
💻دوره: آنلاین (نرم افزار ادوب کانکت)
📅 شروع: ۱۴۰۵/۰۵/…
فعلا این را ببینید (حدس میزدم که بالاخره این شخص که مدعی است میتوان در یک روز، یک مقاله نوشت، باید مقالاتی داشته باشد، اما با جستجوی خودمان پيدا نکرديم). يکی از مخاطبان محترم، پروفایل وزین ایشان را پيدا کرده که در تصویر میبینید.
ان شاالله بزودی درباره این آمار خارقالعاده برای یک #مدرس مقالهنویسی، نکاتی را عرض میکنیم.
@write_paper
از وقتی در رابطه با برخی افراد شیاد و صفحات جعلی که دنبال فریب مخاطبان خود در حوزه نگارش مقالات هستند، مطلب نوشتیم و روشنگری کردیم، در اینستاگرام صفحه مقالهنویسی ما را ریپورت و از دسترس خارج کردهاند (لذا ما در حال حاضر، صفحهای در اینستاگرام نداریم!).
این جور صفحات از ناآگاهی برخی عزیزان سوءاستفاده میکنند. مثلاً میگویند مقاله پذیرفته شده و اسم اول و دومش به فروش میرسد. یعنی همین قدر مسخره.
عزیزان بدانید ما چن…
🔺چقدر این جمله ایشان را قبول دارید؟
"اگر ما امروز در همین جایگاه قرار گرفتهایم، این اتفاق با برنامهریزی رخ نداده است. ما یک پتانسیل نیروی انسانی توانمند داریم؛ این نیروی انسانی ضعفها و مشکلات مدیریتی کشور را جبران کرده است."
معاون وزیر بهداشت با انتقاد از حمایت نکردن از پژوهش در کشور گفت: در رتبهبندی سایمگو؛ در سال ۲۰۲۴ ما رتبه هفدهم را کسب کردیم، در حالی که یک هفته قبل از اعلام رتبه ما شانزدهم بودیم. اختلاف ما از نظر تعداد مقالات با کشوری که رتبه شانزدهم را کسب کرد، خیلی کم بود و با یک همت، میتوانستیم رتبهٔ شانزدهم را بگیریم، اما یک رتبه را از دست دادیم.
وی در مورد راهکارها برای جبران این افت رتبه گفت: گاهی اوقات برخی از مقالات نشری…
این پژوهشگر دانشگاه علوم پزشکی شهید بهشتی با انتقاد از سیاستهای بودجهریزی سال آینده در حوزه پژوهش، اعلام کرد: ما انتظار داشتیم مسئولان پس از جنگ ۱۲ روزه اخیر به قدرت پژوهش و فناوری واقف باشند و توجه ویژه ای به این بخش کنند. اما متاسفانه بودجه پژوهشی برای سال ۱۴۰۵ نه تنها افزایش نیافت و حتی در مواردی کاهش داشته است، در حالی که کشورهای دیگر مانند روسیه در زمان جنگ بودجه فناوری و تحقیقات را افزایش دادهاند.
وی با اشا…
معاون تحقیقات و فناوری وزارت بهداشت از افت رتبه علمی و فناوری ایران در جهان خبر داد و گفت: رتبه فناوری کشور از ۵۳ به ۷۰ و رتبه پژوهشی نیز از ۱۵ به ۱۷ سقوط کرده است؛ این در حالی است که بر اساس برنامه هفتم توسعه قرار بود ایران جایگاه ۱۴ علم جهان را کسب کند.
به گزارش ایسنا، دکتر شاهین آخوندزاده در بیستوششمین جشنواره ابوریحان که امروز در دانشکده پزشکی دانشگاه علوم پزشکی شهید بهشتی برگزار شد، گفت: هیچ فردی را به اندازه …
دکتر آخوندزاده، معاون تحقیقات و فناوری وزارت بهداشت خبر داد:
سقوط ۱۷ پلهای رتبه فناوری و دو پلهای جایگاه علمی ایران در جهان
مشروح سخنان ایشان در پست بعدی
Join us:
@write_paper
Showing the 12 most recent of 19 posts we hold for @write_paper. 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 — 206,337 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
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.
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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“مهارت مقالهنویسی” (@write_paper), 1,168 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/write_paper.
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.
