6 measurements spanning 23 days, net +4. 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 843–852 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
30 Aug 2026, 19:55
849
-2
22 Aug 2026, 20:06
851
+4
15 Aug 2026, 19:07
847
+3
8 Aug 2026, 06:58
844
-1
8 Aug 2026, 01:20
845
no change
7 Aug 2026, 18:11
845
first reading
Engagement
20 posts held, back to 29 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 · 30 days
37.1%
avg views ÷ 849 subscribers
Avg views / post
315
14 posts measured
Reaction rate
1.70%
reactions ÷ views · ER floor
Posts in window
14
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
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
20 (29 July 2026 – 7 August 2026)
Views total
4,413
Reactions total
75
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 01:20 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
110 reactions across 19 posts, in 2 distinct kinds. The most used accounts for 64.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
71
64.5%
💯
39
35.5%
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 19 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 110reactions 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 29 July 2026 to 7 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.
테루모 실적발표 자료 보고 든 생각
인터벤션 사업부 성장이 꽤 좋습니다.
전체 TIS 매출이 전년대비 +20.1%, 환율 제외해도 +7.9%.
특히 북미 +9.4%, 유럽 +5.0% 성장.
유럽은 분기 매출만 302억엔(약 2,780억원)
물론 여기에 넥스피어F 매출이 얼마나 들어갔네 어쩌네 할 단계는 아닙니다😂 들어갔어도 티도 안 날 수준일테고..
근데 반대로 생각하면, 넥스피어F가 테루모를 성장시키는게 아니라 이렇게 잘 크고있는 테루모 인터벤션사업부가 넥스피어F를 팔아준다는거.
GAE가 이제 시장을 만들어가는 단계인걸 생각하면 제품 자체도 중요하지만 결국 얼마나 많은 병원에 침투시킬 수 있느냐도 중요할텐데,
이미 유럽에서 분기에 3천억 가까이 인터벤션 제품을 팔고있는 회사의 영업망에 올라탔다는건 꽤 기대해볼만한 부분.
테루모가 …
아, 그리고 넥스피어나 넥스피어f를 사용하진 않았다고합니다.
어제 해외논문을 좀 찾아보니 손가락관절염에 TAE시술 연구는 꽤 있더라구요.
그런 과거연구에서 기존 방식인 항생제+조영제로 일시색전 효과를 낸지라, 아마 비슷하게 진행하고 계신게 아닌가 추정하고 있구요.
넥스피어f는 기존 항생제+조영제 섞어서 만들어 쓰던걸 제품화한거라 향후 시장만 열린다면 침투율은 높을것이라고 생각합니다.
많지않은 수량이지만 다시 매수 시작합니다.
개인적으로는 DSA없이 초음파로만 보는 손가락관절염 미세동맥색전술이 꽤 킥으로 와닿았구요.
누군가는 3만원대 안사고 왜 지금?이냐 물을수도 있지만.... 그땐 심적으로 너무 힘들어서 2주간 매매를 아예 쉬었군요 지금은 좀 낫습니다🙇♂
시장의 분위기에 편승하여 20일선 위로, 60일선 바로 밑에서 하루 쉬어갑니다.
1. 넥스파우더 논문게재
2. 넥스피어를 이용한 경막하혈종 색전술의 우수한 중간결과 데이터
3.일시적색전제를 이용한 손가랑관절염 색전술의 우수한 초기데이터 가 잇따라 보도되며 분위기 반전을 꾀하는 중입니다.
상반기 내도록 고생했는데 하반기엔 바붐온 외칠수있기를🔥
기사의 핵심은 손가락 관절염 치료만큼이나 시술 접근성의 변화 가능성에 있습니다.
기존 무릎시술(GAE)은 인터벤션 장비, 영상의학과 전문의가 필요해 시술 가능한 병원이 제한적.
반면 기사에서는 초음파 유도, 시술시간 약 5분을 강조하고 있어 접근성이 크게 개선될 가능성을 시사.
만약 DSA 없이 초음파만으로 시행 가능하다면, 정형외과에서도 외래 시술이 가능해질 여지가 있으며 시장 확대 속도는 크게 빨라질 수 있습니다.
따라서 임상 초기단계라 실제 환자에 적용하는 시점은 무릎, 고관절 등 큰 관절에 비해 뒤쪽이겠지만 시장침투속도는 훨씬 빠르지 않을까 기대합니다.
기사에서는 색전제를 표기하지 않고 일시적 색전으로만 표기했는데 넥스피어f나 넥스피어 일수도, 기존 방식인 항생제+조영제를 사용한것일수도 있습니다.
어떤 색전제를 사용했냐는 당장…
최근 IR자료에서 경막하혈종과 갑상선종을 언급
두 내용의 최신업데이트를 다시 해보자면
1. 갑상선종은 영국에서 10명 임상들어갈것이라고 이후 이데일리기사를 통해 공유됨.
2. 경막하혈종은 국내의료진이 10명 대상으로한 인체 타당성 연구진행 중이며 중간결과 상 기술적으로도 안정성도 성공적인 결과가 나옴.
최종결과가 나와야하겠지만 이후 어떤식으로건 확대하여 임상 진행 할 가능성이 높을 듯
https://n.news.naver.com/article/018/0006343954?sid=101
저번에 올린글, 오늘 보도자료 발표
🔥4
Showing the 12 most recent of 20 posts we hold for @nextbiomedical. 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.
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.
“넥스트바이오메디컬 주주채널” (@nextbiomedical), 849 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/nextbiomedical.
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.