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 10 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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 the other topics.
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 in near-verbatim form on 5 other registered channels. This entry also sits inside a group of 12 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 51 comparable posts for this entry, running 30 July 2026 to 9 November 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).
Of the group of 12 channels, the one whose matching posts we hold earliest is @alteogenIR — which is this entry. That is a statement about our reading window, not a claim of authorship.
Views per post sit far above this size band
10,300 average views per post against 9,779 subscribers — an engagement rate of 105.4%. Across the 39,880 registered channels in the same cohort — 3,183–9,999 subscribers — the middle half sit between 5.36% and 23.1%, with a median of 11.8%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
23 of 23 published in the window (0 exact, 23 rounded by Telegram)
Views totalled
236,960
Mature posts only
105.4% over 23 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_source · err_high, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 12 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
26 measurements spanning 96 days, net +256. 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 9,511–9,843 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
10 Nov 2026, 13:11
9,805
+34
7 Nov 2026, 01:08
9,771
-8
3 Nov 2026, 19:50
9,779
-7
1 Nov 2026, 00:27
9,786
+15
29 Oct 2026, 06:09
9,771
-12
25 Oct 2026, 22:15
9,783
-9
23 Oct 2026, 01:47
9,792
-3
17 Oct 2026, 06:58
9,795
-9
14 Oct 2026, 08:46
9,804
+6
10 Oct 2026, 13:37
9,798
+25
4 Oct 2026, 18:42
9,773
-17
25 Sept 2026, 00:00
9,790
-10
16 Sept 2026, 13:59
9,800
-4
12 Sept 2026, 17:00
9,804
+16
8 Sept 2026, 17:16
9,788
+2
3 Sept 2026, 17:02
9,786
+74
31 Aug 2026, 01:56
9,712
+1
28 Aug 2026, 07:39
9,711
+10
24 Aug 2026, 23:13
9,701
+5
21 Aug 2026, 15:48
9,696
first reading
Engagement
67 posts held, back to 27 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
98.3%
avg views ÷ 9,805 subscribers
Avg views / post
9,640
28 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
28
of 67 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 9 November 2026
Posts held
67 (27 July 2026 – 9 November 2026)
Views total
269,850
Reactions total
2,902
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 22:36 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
75
Links
210
Lifetime counters from Telegram’s own channel header, read 10 November 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.
Reaction mix
6,974 reactions across 65 posts, in 35 distinct kinds. The most used accounts for 39.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,734
39.2%
❤
2,250
32.3%
👎
1,360
19.5%
🤪
86
1.23%
😡
79
1.13%
😭
70
1.00%
👏
66
0.946%
🙏
56
0.803%
🍌
53
0.76%
🤔
46
0.66%
🔥
33
0.473%
😢
31
0.445%
🤷♂
15
0.215%
💔
11
0.158%
🤷♀
11
0.158%
💯
9
0.129%
😱
9
0.129%
😁
8
0.115%
🥰
8
0.115%
🤯
7
0.1%
15 further kinds
32
0.459%
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 67 of the 67 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 7,157 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 27 July 2026 to 9 November 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
Telegram’s own ‘edited’ marker: 7 of 28 posts held from the last 30 days (25.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
『알테오젠 (196170,KQ) - 약가인하는 조삼모사』
기업분석부 엄민용, 윤석현 ☎️ 02-3772-1546
▶️ 신한생각: 히알루로니다제 SC 약가인하는 머크 주가를 흔들지 못했다
11월 5일 IRA 2029년 약가협상 최종규칙에서 SC 제형도 협상 대상에 포함됐으나 키트루다SC 영향은 미미할 것으로 판단. 작년 5월 SC 제형 약가협상 초안 발표때부터 소화된 이슈로 추가 하락은 과도. 같은 논리 적용 시 가장 큰 영향받을 MSD 주가는 전일 대비 0.13% 하락해 키트루다SC 수익성 우려 제한적. 이슈에도 불구하고 추가 L/O 지속 및 회복 전망
▶️ 키트루다SC 수익성에 미칠 영향이 적은 이유
2027년 2월 1일 발표될 약가인하 목록의 제품들은 2029년 1월부터 약가인하. 키트루다SC의 메디케어 매출 비중은 전체 매출의 약 5…
추가적으로 경쟁사 현황에 대해 설명드리면, 지난 금요일 할로자임의 주가 하락은 1)최근 상승한 밸류에이션 대비 실적의 upside 잠재력이 떨어지는 것과 2)할로자임 CEO의 발언 "현재 머크와 어떤 settlement에 대한 discussions가 없다"는 포인트가 투자자들의 기대를 떨어뜨린 이유로 풀이됩니다.
투자은행 Leerink에서도 이런 이유로 할로자임의 투자의견을 MP(Market Perform)로 하향한 바 있습니다.
안녕하세요. 미국 IRA 약가인하와 하이브로자임 경쟁력에 대한 매일경제 기사 공유드립니다. 주요 내용은 아래와 같습니다.
▶️ IRA 약가인하 영향은 제품별로 차별화…적응증 확대와 처방 환자 증가로 자디앙, 엘리퀴스 등 의약품은 매출 증가
▶️ 키트루다 SC, 3분기 매출 8억3,000만 달러 기록…전분기 대비 약 79% 증가하며 성장세 지속
▶️ 환자 편의성 개선과 제품 차별화를 위한 글로벌 제약사의 SC 전환 수요 지속…하이브로자임 경쟁력 유지 전망
자세한 내용은 하단의 기사 링크를 통해 확인해주시기 바랍니다.
[기사 링크] https://n.news.naver.com/article/009/0005760808?sid=105
안녕하세요. 미국 IRA 약가인하에 대한 설명문 공유드립니다. 주요 내용은 아래와 같습니다.
▶️ SC전환을 통한 특허 연장 에버그리닝(Evergreening) 효과 유효, 하이브로자임 라이선스 경쟁력 변화 없음
▶️ IRA 약가인하 영향은 제품별로 차별화…일부 의약품은 오히려 매출 증가
▶️ MSD, 약가인하 이후 초기 제한된 영향에도 중장기 성장세 회복 전망
자세한 내용은 하단의 링크를 통해 확인해주시기 바랍니다.
https://alteogen.com/kr/sub/ir/information.php?mode=view&bid=2&idx=519&page=1
안녕하세요, 알테오젠이 11월 9일부터 11일까지 독일 쾰른에서 열리는 ‘BIO-Europe 2026’에 참가합니다.
• 망막질환 치료제 후보물질 ALTS-OP01에 대해 다수 글로벌 제약사와 사업 개발 미팅 예정
• 전태연 대표가 자회사 알테오젠바이오로직스와 함께 관련 미팅에 직접 참여해 협력 기회 모색
• ALT-B4를 활용한 ADC 피하주사 전환 연구 결과를 바탕으로 하이브로자임 플랫폼의 적용 가능성 소개 및 신규 파트너십 논의
• 기술 도입과 공동개발 등 중장기 성장 동력이 될 후속 파이프라인 확보 기회 탐색
알테오젠은 이번 행사를 통해 ALTS-OP01의 잠재력과 하이브로자임 플랫폼의 확장 가능성을 알리고, 새로운 파트너십과 성장 기회를 모색하겠습니다.
[보도자료] https://alteogen.com/kr/sub/ir/n…
안녕하세요, 알테오젠의 ALT-B4 파트너사 사노피(Sanofi)의 피하주사제형 듀피젠트 임상 3상 ‘EXTENSA’ 등록 소식을 공유드립니다.
• 두필루맙(제품명: 듀피젠트)과 ALT-B4를 함께 제형화한 피하주사 제형 평가
• 만 12세 이상 중등도~중증 아토피피부염 환자 150명 대상 예정
• 기존 두필루맙 제형과 약동학, 면역원성, 안전성 및 내약성 비교 - Primary endpoint는 Ctrough(약물 투여 직전의 최저 혈중 농도) 비교
• 등록 정보상 2026년 11월 30일 시작 예정
[임상정보 링크] https://clinicaltrials.gov/study/NCT07919899?term=Berahyaluronidase&viewType=Card&page=2&rank=12
[3Q26 Review] 알테오젠: Qlex 판매 확대와 신규 계약 효과 확인
[대신증권 홍가혜]
#홍가혜 #알테오젠
실적 성장 전망
알테오젠의 3Q26 영업이익은 전년 대비 196% 증가한 789억원을 기록하며 Qlex 판매 마일스톤과 신규 계약으로 실적 성장을 견인했음.
#투자
목표주가 45만원 유지
Qlex 판매 확대와 추가 기술 수출 기대감으로 투자의견 'BUY', 목표주가 45만원을 유지하며 파이프라인 가치에 주목함.
#성장
매출 확대 지속
2026년 연결 매출액 4,531억원, 영업이익 3,014억원을 전망하며 Qlex 판매와 신규 계약이 추가 성장 동력이 될 전망임.
📎PDF | ➡️보고서원문| 🔴AI요약/해설
하나증권 제약/바이오 김선아
알테오젠(196170.KQ/BUY)
[연간 영업이익 3천억 이상 전망 (3Q26 Re)]
투자의견 BUY(괴리율 92.0%)
목표주가: 410,000원(하향)
▶ 리포트: https://buly.kr/NmuKlZ
▶ 3Q26 실적 서프라이즈, 영업이익률 66%, 올해 영업이익 3천억원 이상 전망
- 3Q26 매출 1,198억원, 영업이익 789억원으로 컨센 대비 매출 4%, 영업이익 5% 상회
- Qlex QoQ+79.3% 성장, 키트루다 내 비중 9.7%(+3.8%p)로 이번 분기에도 Sales milestone 약 4천3백만 달러 이상 수령 추정
- 4Q26 Sales milestone 5천만 달러 이상 가정 시 4Q26 영업이익 1,526억원, ‘26년 연간 3,050억원(OPM66.7%) 전망 (보수…
👎59👍30❤8😭6🤪2🍌1🍓1🤔1
Showing the 12 most recent of 67 posts we hold for @alteogenIR. 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.
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 2 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“알테오젠 IR” (@alteogenIR), 9,805 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/alteogenIR.
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.
