엗? https://www.fnnews.com/news/202608030604117807
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Channel
@alienorinc
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
535subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002400675664 |
|---|---|
| Type | Channel |
| Username | @alienorinc |
| Description | 공부하는거 마구잡이로 올립니당 찹츄찹찹츄 • 본 채널의 게시물은 산업과 기업에 대한 단순 의견으로 투자권유가 아닙니다. • 단순 의견을 토대로 매매를 진행하여 손실이 발생한다면 거래당사자의 책임으로 법적책임의 근거가 될 수 없습니다. |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/alienorinc |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 03:49 | 535 | no change |
| 7 Aug 2026, 13:32 | 535 | first reading |
16 posts held, back to 20 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 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 8 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 August 2026 |
|---|---|
| Posts held | 16 (20 July 2026 – 2 August 2026) |
| Views total | 7,168 |
| Reactions total | 19 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:49 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.
Lifetime counters from Telegram’s own channel header, read 8 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.
19 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 47.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 47.4% | |
| 👍 | 9 | 47.4% | |
| 😁 | 1 | 5.26% |
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 8 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 19reactions 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 20 July 2026 to 2 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.
엗? https://www.fnnews.com/news/202608030604117807
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비만약 마운자로·위고비, 오·남용 우려 의약품 지정 세계적으로 큰 인기를 끌고 있는 비만 치료제 마운자로는 터제파타이드 성분이다. 경쟁 제품인 위고비는 세마글루티드, 삭센다는 리라글루티드 성분이다. 식약처가 개정안을 고시하면 국내 시판 비만 치료제가 모두 오·남용 우려 의약품으로 분류된다. 식약처 관계자는 “지난 6월 이 개정안을 행정예고한 뒤 한 달여 기간 동안 전문가와 업계의 의견을 수렴했다”며 “내용을 바꿀 만한 이유를 찾지 못해 당초 계획했던 내용대로 고시할 예정”이라고 했다. 제약사는 약의 용기, 개별 포장, 첨부문서 등에 오·남용 우려 의약품 지정 사실을 알리는 경고 문구를 표기해야 한다. 정부가 ‘의약분업 예외 지역(병원이 없거나 드문 도서 산간 또는 읍·면 지역)’으로 지정한 곳에서는 원래 약사가 의사 처방 없이 전문의약품…
WCLC 2026 초록 타이틀 공개: VRN11 발표 미니오랄세션에서 VRN11 구두발표 예정 한 5분정도 간략하게 1상 결과+유효성 발표하는 세션. 발표 PI로는 안명주. + 같은 세션에서 전에 코멘트했던 BH-30643도 발표 예정 https://cattendee.abstractsonline.com/meeting/21487/Session/130
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오늘의 국장
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이정도면 국민쇠퇴펀드아님? 미치셨는지...
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https://www.hankyung.com/article/2026072938601 ????
스파이더맨 후기: siRNA..으윽 여기서도..
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HLB, 10월 ESMO 2026서 리보세라닙·리라푸그라티닙 연구초록 3건 발표 https://www.hankyung.com/article/202607289522i
엔테라 바이오, 2억 7,500만 달러 사모 발행으로 주가 급등 - ENTX +73%, 시가총액 1.87억 달러 기업이 2.75억 달러 사모발행으로 주가 급등 중/ 심지어 초과청약. - Longitude Capital, Vivo Capital, TCGX, Spruce Street Capital, Venrock Healthcare Capital Partners, RA Capital Management, Perceptive Advisors, Driehaus Capital Management, Logos Capital, Catalio Capital Management 참여. 굵직한 애들이 많이 눈에띔. - N-Tab은 위장에서 효소적인 분해를 막고 소장에서 투과성을 늘려 흡수를 늘리는 플랫폼 - 리드 파이프라인은 릴리의 골다공증 치료 주사…
왜 노바티스는 ADC에 뛰어들었나? - 컨콜에서 노바티스 CEO의 인수 코멘트를 요약한 내용. - 노바티스는 암종에 따라서 RLT보다 ADC가 더 낫다는걸 알고 있었는데 경쟁이 포화된 시장에 차별점을 못찾음. - Payload가 이 차별점으로 Topo i 이나 튜뷸린 계열로 진입해봐야 의미없다고 판단. - 그래서 Myricx의 NMT가 엄청 매력적. topo1이나 튜불린 내성에 모두 접근 가능했고 안전성도 높았음. - 이제 새로운 후발주자라고 봐야하는 그룹은 결국 payload로 이목이 쏠리는 중. DAC도 결국 페이로드 얘기고, STING agonist 얘기도 나옴. - novel payload전략이 dual payload보다 낫다고 판단하는 것 같음. dual은 결국 한쪽은 기존 payload니까 약간 안전마진을 가져가고싶은 느…
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https://www.fiercebiotech.com/research/nobel-laureate-jennifer-doudna-enters-ai-protein-design-arena?utm_medium=email&utm_source=nl&utm_campaign=LS-NL-FierceBiotechResearch&oly_enc_id=7542C6767501F7L CRISPR 노벨상 수상자 제니퍼 도드나 AI를 이용해 새로운 유전자편집 효소 개발 - cas9의 조상격이지만 더작고 잘듣는 가위 개발. TnpB라고함 - Ai가 특이적인 효소 개발이 가능하도록 디자인을 도울 수 있음 - 다른 노벨수상자인 베이커와 긴밀하게 협업중 특이점이 온당..
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지투지바이오는 의료·바이오 인공지능(AI) 스타트업인 스파이더코어와 장기지속형 주사제 개발을 위한 ‘AI 기반 연구개발(R&D) 플랫폼 구축 계약’을 체결했다고 밝혔습니다. 이번 계약은 장기지속형 미립구 제형과 공정 개발 과정에서 축적된 데이터를 AI가 학습해 최적의 제형 조합과 공정 분석 자동화 플랫폼을 구축하기 위해 체결됐습니다. 지투지바이오는 AI 플랫폼을 활용해 장기지속형 주사제 개발 속도를 2배 이상 높이고 관련 비용을 50% 이상 줄이는 것을 목표로 하고 있습니다. 향후 2년 안에 플랫폼을 연구 현장에 적용해 연구원 1인당 수행 가능한 프로젝트 수를 최대 4개까지 확대할 계획입니다. 새 플랫폼은 지투지바이오가 보유한 연구 데이터와 국내외 공개 논문·특허 정보를 통합해 분석합니다. 이를 기반으로 목표로 하는 체내 약물 농도 변화…
Showing the 12 most recent of 16 posts we hold for @alienorinc. 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 — 968,503 of 1,169,250entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“찹츄만판당🎤” (@alienorinc), 535 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/alienorinc.
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.