This channel’s posts match, word for word or near enough, posts on 7 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
9 measurements spanning 23 days, net -1,199. 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 778–2,337 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
30 Aug 2026, 10:44
958
-177
27 Aug 2026, 11:23
1,135
-126
24 Aug 2026, 15:57
1,261
-281
20 Aug 2026, 23:05
1,542
-211
17 Aug 2026, 12:28
1,753
-183
14 Aug 2026, 05:38
1,936
-206
10 Aug 2026, 23:17
2,142
-15
7 Aug 2026, 14:47
2,157
no change
7 Aug 2026, 13:02
2,157
first reading
Engagement
15 posts held, back to 6 May 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
55 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 45.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
25
45.5%
🔥
15
27.3%
👏
8
14.5%
👍
7
12.7%
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 14 of the 15 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 55 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 6 May 2026 to 29 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.
📣 فراخوان همکاری پژوهشی | طراحی گرافیکال ابسترکت و اشکال مقاله
باشگاه پژوهشی Dr.Copilot از افراد خلاق و مسلط به طراحی علمی برای همکاری در تکمیل یک مقاله بینالمللی دعوت به همکاری میکند.
🔺 حوزه فعالیت:
طراحی چندین Figure و Graphical Abstract برای یک مقاله علمی (بدون استفاده از ابزارهای هوش مصنوعی)
🔺حیطه مقاله:
هوش مصنوعی در سلامت و علوم پزشکی
🔺وضعیت پروژه:
✅مقاله بهطور کامل نگارش شده و آماده سابمیت به ژورنالهای…
📣 فراخوان همکاری در طرح پژوهشی
باشگاه پژوهشی Dr.Copilot از دانشجویان و پژوهشگران علاقهمند برای همکاری در یکی از طرحهای پژوهشی فعال دعوت به همکاری میکند.
🔺کد طرح در Dr.Copilot:
DCRC-AIHSR-SCO-2026-006
🔺فیلد / هسته پژوهشی:
هوش مصنوعی × مدیریت و سیاستگذاری سلامت
🔺حیطه موضوعی طرح:
بررسی یکی از کاربردهای نوظهور هوش مصنوعی در نظام سلامت با تمرکز بر مرور شواهد موجود، تحلیل روندهای جدید، چالشهای پیادهسازی و فرصتها…
📣 فراخوان همکاری در پروژه ترجمه کتاب
باشگاه پژوهشی Dr.Copilot از دانشجویان و پژوهشگران علاقهمند برای همکاری در نخستین پروژه ترجمه کتاب دعوت به همکاری میکند.
🔺 کد پروژه در Dr.Copilot:
DCRC-AIBOOK-TR-2026-001
🔺 فیلد / هسته پژوهشی:
هوش مصنوعی در پزشکی
🔺حیطه موضوعی کتاب:
یکی از منابع معتبر و بهروز در حوزه هوش مصنوعی در سلامت و علوم پزشکی.
عنوان کتاب پس از نهایی شدن تیم همکاران اعلام خواهد شد.
🔺نوع پروژه:
ترجمه ت…
📣فراخوان همکاری در طرح پژوهشی
باشگاه پژوهشی Dr.Copilot از دانشجویان و پژوهشگران علاقهمند برای همکاری در یکی از طرحهای پژوهشی فعال دعوت به همکاری میکند.
🔺کد طرح در Dr.Copilot:
DCRC-AIMI-SR-2026-005
🔺فیلد / هسته پژوهشی:
هوش مصنوعی در پزشکی × انفورماتیک پزشکی
🔺حیطه موضوعی طرح:
بررسی یکی از فناوریهای نوظهور هوش مصنوعی در پزشکی با تمرکز بر ارزیابی شواهد موجود، تحلیل کاربردهای بالینی، چالشهای پیادهسازی و چشماندا…
📱کانالهای تخصصی هستههای باشگاه پژوهشی دکتر کوپایلت
🎊به منظور توسعه فعالیتهای علمی و پژوهشی، برای هر هسته تخصصی یک کانال مجزا ایجاد شده است. با عضویت در کانال هسته مورد علاقه خود، به جدیدترین محتواها و فرصتهای آن حوزه دسترسی خواهید داشت.
در هر کانال میتوانید از موارد زیر بهرهمند شوید:
🔹 دورههای تخصصی مرتبط با همان رشته
🔹 دورههای آموزش پژوهش، مقالهنویسی، هوش مصنوعی و فناوری سلامت
🔹 اطلاعرسانی پروژههای فعال…
📣 فراخوان همکاری در طرح پژوهشی
باشگاه پژوهشی Dr.Copilot از دانشجویان و پژوهشگران علاقهمند برای همکاری در یکی از طرحهای پژوهشی فعال دعوت به همکاری میکند.
🔺کد طرح در Dr.Copilot:
DCRC-AIPHARM-SR-2026-004
🔺فیلد / هسته پژوهشی:
هوش مصنوعی در پزشکی × داروسازی (Pharmacy)
🔺حیطه موضوعی طرح:
بررسی یکی از فناوریهای نوظهور هوش مصنوعی مولد در حوزه داروسازی با تمرکز بر کاربردهای آن در مدیریت دانش دارویی، پشتیبانی از تصمیمگ…
📣 فراخوان همکاری در طرح پژوهشی
باشگاه پژوهشی Dr.Copilot از دانشجویان و پژوهشگران علاقهمند برای همکاری در یک طرح پژوهشی فعال دعوت به همکاری میکند.
🔺 کد طرح در Dr.Copilot:
DCRC-AIMPHY-SR-2026-003
🔺 فیلد / هسته پژوهشی:
هوش مصنوعی در پزشکی × سلامت دیجیتال / فناوریهای هوشمند بالینی
🔺 حیطه موضوعی طرح:
یک موضوع نوظهور در حوزه هوش مصنوعی و فناوریهای هوشمند در محیطهای بالینی و مراقبت سلامت با تمرکز بر مرور شواهد موجو…
📣فراخوان همکاری در طرح پژوهشی
باشگاه پژوهشی Dr.Copilot از دانشجویان و پژوهشگران علاقهمند برای همکاری در یکی از طرحهای پژوهشی فعال دعوت به همکاری میکند.
🔺کد طرح در Dr.Copilot:
DCRC-AICARD-SR-2026-002
🔺فیلد / هسته پژوهشی:
هوش مصنوعی در پزشکی × قلب و عروق (Cardiology)
🔺حیطه موضوعی طرح:
بررسی یکی از فناوریهای نوظهور هوش مصنوعی مولد در پزشکی با تمرکز بر کاربردهای آن در قلب و عروق، ارزیابی شواهد موجود، عملکرد بالین…
Showing the 12 most recent of 15 posts we hold for @Drcopilot_researchhub. 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 — 12,964 of 1,629,535 entries 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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“باشگاه پژوهشی دکتر کوپایلت” (@Drcopilot_researchhub), 958 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/Drcopilot_researchhub.
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.