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Channel

انجمن علمی پزشکی دانشگاه علوم پزشکی لرستان

@lumsmedical

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

653subscribers

-3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001822245331
TypeChannel
Username@lumsmedical
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/lumsmedical

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 71% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. They sit inside a group of 5 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@lumsmedical/884 · this entry18 Jun 2026, 21:17 UTC@aisa_sutech/37427 Jun 2026, 18:55 UTC1.009 days
@lumsmedical/885 · this entry18 Jun 2026, 21:17 UTC@aisa_sutech/37527 Jun 2026, 18:55 UTC1.009 days
@lumsmedical/886 · this entry18 Jun 2026, 21:17 UTC@aisa_sutech/37627 Jun 2026, 18:55 UTC1.009 days
@lumsmedical/887 · this entry18 Jun 2026, 21:17 UTC@aisa_sutech/37727 Jun 2026, 18:55 UTC1.009 days
@lumsmedical/881 · this entry18 Jun 2026, 21:17 UTC@aisa_sutech/37527 Jun 2026, 18:55 UTC0.759 days
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@aisa_sutech5 (5/5 hand-verifiable sample passed)0.959 daysthis entry (50)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 18 June 2026 to 18 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 5, the earliest publisher we hold is @lumsmedical — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 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.

Growth

653656654.56 August 2026 — 656 subscribers6 August 2026 — 656 subscribers7 August 2026 — 654 subscribers13 August 2026 — 653 subscribers6 August 202613 August 2026
4 measurements spanning 7 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 653–656 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:16653-1
7 Aug 2026, 01:21654-2
6 Aug 2026, 17:18656no change
6 Aug 2026, 08:50656first reading

Engagement

20 posts held, back to 18 June 2026the 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
16.2%
avg views ÷ 653 subscribers
Avg views / post
106
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 20 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
WindowRolling 30 days · latest post in window 18 July 2026
Posts held20 (18 June 202618 July 2026)
Views total106
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:18 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

18 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 94.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1794.4%
🗿15.56%

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 4 of the 20 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 18 June 2026 to 18 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.

Recent posts

18 Jul 2026, 21:07 UTC106 viewsread 6 August 2026
Forwarded from @lumsanesthesiaPhoto

💊 فراخوان جمع‌آوری داروی مازاد سالم بسیاری از داروها پس از بهبودی بیمار یا تغییر نسخه، بدون استفاده باقی می‌مانند؛ در حالی که اگر سالم، در بسته‌بندی اصلی و دارای تاریخ مصرف معتبر باشند، می‌توانند به دست افرادی برسند که به آن‌ها نیاز دارند. اگر داروی مازادی دارید که شرایط لازم را دارد، با اهدای آن در این کار خیر سهیم شوید. 📌 شرایط داروهای قابل اهدا: ✅ دارای تاریخ مصرف معتبر ✅ بسته‌بندی اصلی و سالم ✅ بدون نیاز به شر

27 Jun 2026, 10:14 UTC230 views2 reactionsread 6 August 2026
Forwarded from @Edalat_LUMSPhoto

⭕️کاروان بدرقه آقای شهید ایران⭕️ ⚫️ معاونت فرهنگی و دانشجویی دانشگاه علوم پزشکی لرستان با همکاری بسیج دانشجویی برگزار می‌کند: 🖤 کاروان اعزامی ویژه اساتید و دانشجویان به مراسم وداع و تشییع امام مجاهد شهید، حضرت آیت‌الله العظمی سیدعلی خامنه‌ای (قدس‌الله‌نفسه‌الزکیه) در شهر مقدس قم (۱۶تیرماه) 🔹مهلت ثبت نام: سه شنبه ۹ تیرماه 📝 لینک ثبت‌نام دانشجویان: https://survey.porsline.ir/s/VukUTiI8 📝 لینک ثبت‌نام اساتید: https

1🗿1

26 Jun 2026, 12:16 UTC250 views9 reactionsread 6 August 2026
Forwarded from @Lums_CSA

بسم الله الرحمن الرحیم با نهایت تأسف و تأثر، خبر درگذشت جان‌سوز دو دانشجوی گرانقدر رشته پرستاری، یاسمن شمشیری و پانیذ میناپور، جامعه دانشگاهی علوم پزشکی لرستان را در غمی عمیق فرو برد. انجمن‌های علمی دانشگاه علوم پزشکی لرستان، این ضایعه تلخ و جانکاه را به خانواده‌های محترم آن عزیزان، دوستان، همکلاسی‌ها، اساتید و تمامی اعضای خانواده بزرگ دانشگاه علوم پزشکی لرستان صمیمانه تسلیت عرض می‌نمایند. از درگاه خداوند متعال،

9

24 Jun 2026, 13:12 UTC529 views7 reactionsread 6 August 2026

🖤 بسم الله الرحمن الرحیم تاسوعا و عاشورای حسینی، یادآور حماسه جاودان ایثار، آزادگی و حق‌طلبی است. انجمن علمی پزشکی دانشگاه، فرارسیدن این ایام سوگواری و شهادت حضرت اباعبدالله الحسین (ع) و یاران وفادارش را به تمامی اساتید، دانشجویان و دانشگاهیان گرامی تسلیت عرض می‌نماید. السلام علی الحسین و علی علی بن الحسین و علی اولاد الحسین و علی اصحاب الحسین ▪️ انجمن علمی پزشکی دانشگاه 🖤 @lumsmedical @lums_csa

7

23 Jun 2026, 10:10 UTC149 viewsread 6 August 2026

🚨 شکم درد حاد! چالش همیشگی اورژانس یا یک معمای قابل حل؟ اگر دانشجوی علوم پزشکی هستی، حتماً می‌دونی که برخورد با دردهای شکمی، مخصوصاً مشکلات کیسه صفرا و پانکراس، چقدر می‌تونه تو کشیک‌ها استرس‌زا و حساس باشه! 🩺 خبر خوب اینه که مجموعه منتورس (Mentors) با یک اتحاد علمی بزرگ و بی‌نظیر، قراره خیالت رو از این بابت راحت کنه! 👇 ✨ وبینار جامع و کاربردی: ### 🔴 اپروچ به بیماری‌های صفراوی و پانکراتیت (از تشخیص تا درمان) 👨‍⚕️ مد

23 Jun 2026, 10:10 UTC259 views0 reactionsread 6 August 2026
Photo

🔹 اطلاعات مهم و محتوای آموزشی: 🔴 موضوع: اپروچ به بیماری‌های صفراوی و پانکراتیت (از تشخیص تا درمان) 👨‍⚕️ مدرس: دکتر ویسی‌پور (متخصص جراحی) 💳 هزینه ثبت‌نام: ۵۸,۰۰۰ تومان 💻 پلتفرم برگزاری: اسکای‌روم 🕒 زمان برگزاری: متعاقباً اعلام خواهد شد 📜 مزایا: ارائه گواهی معتبر + جلسه پرسش و پاسخ آنلاین --- 🤝 برگزارکنندگان: این وبینار با حمایت مجموعه منتورس (Mentors) و با همکاری قدرتمندترین انجمن‌های علمی کشور برگزار می‌گردد، ا

21 Jun 2026, 22:34 UTC169 viewsread 6 August 2026
Forwarded from @mentorismiran1404Photo

وبینار آموزشی اپروچ به بیماری‌های صفراوی و آپاندیسیت 🔻 مدرس: دکتر ویسی‌پور، متخصص جراحی 🔻 سرفصل‌ها: 🔸اپروچ به درد حاد شکم 🔸بیماری‌های شایع کیسه صفرا 🔸 کولیک صفراوی و کوله‌سیستیت 🔸 کلانژیت و پانکراتیت صفراوی 🔸 اپروچ تشخیصی آپاندیسیت 🔸 معاینات، آزمایش‌ها و تصویربرداری‌های کاربردی 🔸 تصمیم‌گیری درمانی و زمان ارجاع به جراحی 🔸 بررسی کیس‌های بالینی و نکات اورژانسی 🔻 مناسب برای: دانشجویان پزشکی، اینترن‌ها و پزشکان عمومی و

19 Jun 2026, 17:45 UTC173 viewsread 6 August 2026
Forwarded from @edotums_nutPhoto

📣 کمیته دانشجویی توسعه آموزش علوم پزشکی دانشکده تغذیه و رژیم شناسی دانشگاه علوم پزشکی تهران با همکاری انجمن‌های علمی علوم تغذیه دانشگاه‌های علوم پزشکی ایران و گلستان برگزار می‌کند: ✨برندسازی علمی در عصر لینکدین✨ «شاید مهم‌ترین سرمایه شما فقط دانسته‌هایتان نباشد، بلکه این باشد که چه کسانی از توانایی‌های شما باخبرند.» ✍️ امروزه صرف داشتن مقاله یا رزومه قوی کافی نیست، بسیاری از فرصت‌های پژوهشی از جایی شروع می‌شوند که

18 Jun 2026, 21:17 UTC56 viewsread 6 August 2026
Photo

📌انجمن علمی کارآفرینی دانشگاه شهید مدنی آذربایجان با همکاری انجمن های علمی برتر کشور برگزار می کند: 📝 کارگاه مهارت های کاربردی در تدوین مقالات مروری ISI 💠 به صورت آنلاین و آفلاین 💠 🔹با تدریس جذاب استاد بلامنازع صنعت و دانشگاه، بهترین مربی تربیت پژوهشگر، آقای کارگاه آنلاین کشور (دکتر سید مجتبی شفاعی) پسا دکتری رشته مهندسی مکانیک بیوسیستم دانشگاه تهران مدرس کارگاه‌های تخصصی در بیش از 600 مرکز آموزش عالی دانشگاهی و آز

18 Jun 2026, 21:17 UTC87 viewsread 6 August 2026
Photo

📌انجمن علمی کارآفرینی دانشگاه شهید مدنی آذربایجان با همکاری انجمن های علمی برتر کشور برگزار می کند: 📝 کارگاه به کارگیری ابزارهای هوش مصنوعی در تدوین مقالات ISI 💠 به صورت آنلاین و آفلاین 💠 🔹با تدریس جذاب استاد بلامنازع صنعت و دانشگاه، بهترین مربی تربیت پژوهشگر، آقای کارگاه آنلاین کشور (دکتر سید مجتبی شفاعی) پسا دکتری رشته مهندسی مکانیک بیوسیستم دانشگاه تهران مدرس کارگاه‌های تخصصی در بیش از 600 مرکز آموزش عالی دانشگا

18 Jun 2026, 21:17 UTC126 viewsread 6 August 2026
Photo

📌انجمن علمی کارآفرینی دانشگاه شهید مدنی آذربایجان با همکاری انجمن های علمی برتر کشور برگزار می کند: 📝 کارگاه تدوین گزارش فنی برای ثبت اختراع ملی 💠 به صورت آنلاین و آفلاین 💠 🔹با تدریس جذاب استاد بلامنازع صنعت و دانشگاه، بهترین مربی تربیت پژوهشگر، آقای کارگاه آنلاین کشور (دکتر سید مجتبی شفاعی) پسا دکتری رشته مهندسی مکانیک بیوسیستم دانشگاه تهران مدرس کارگاه‌های تخصصی در بیش از 600 مرکز آموزش عالی دانشگاهی و آزاد (12 س

18 Jun 2026, 21:17 UTC153 viewsread 6 August 2026
Photo

📌انجمن علمی کارآفرینی دانشگاه شهید مدنی آذربایجان با همکاری انجمن های علمی برتر کشور برگزار می کند: 📝 کارگاه طراحی، مونتاژ و نقشه کشی قطعات مکانیکی با نرم افزار Solidworks 💠 به صورت آنلاین و آفلاین 💠 🔹با تدریس جذاب استاد بلامنازع صنعت و دانشگاه، بهترین مربی تربیت پژوهشگر، آقای کارگاه آنلاین کشور (دکتر سید مجتبی شفاعی) پسا دکتری رشته مهندسی مکانیک بیوسیستم دانشگاه تهران مدرس کارگاه‌های تخصصی در بیش از 600 مرکز آموزش

Showing the 12 most recent of 20 posts we hold for @lumsmedical. 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 — 598,345 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

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“انجمن علمی پزشکی دانشگاه علوم پزشکی لرستان” (@lumsmedical), 653 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/lumsmedical.

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.