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Channel

НИИ и точка

@nii_i_tochka

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

696subscribers

+8 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001854300472
TypeChannel
Username@nii_i_tochka
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 14 September 2026
On Telegramt.me/nii_i_tochka

Topic

Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 20 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.

Growth

6867006937 August 2026 — 688 subscribers8 August 2026 — 688 subscribers16 August 2026 — 686 subscribers23 August 2026 — 688 subscribers29 August 2026 — 700 subscribers14 September 2026 — 696 subscribers6967 August 202614 September 2026
6 measurements spanning 38 days, net +8. 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 684–702 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Sept 2026, 06:37696-4
29 Aug 2026, 10:11700+12
23 Aug 2026, 06:05688+2
16 Aug 2026, 04:48686-2
8 Aug 2026, 02:30688no change
7 Aug 2026, 14:00688first reading

Engagement

11 posts held, back to 23 July 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 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 11 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
21s
Average length
11s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

144 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥8458.3%
3222.2%
😁128.33%
❤‍🔥53.47%
👏53.47%
💅32.08%
💯21.39%
💔10.694%

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 10 of the 11 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 144 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 23 July 2026 to 6 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.

Recent posts

6 Aug 2026, 12:20 UTC138 views19 reactionsread 8 August 2026
Photo

Вдохновились примером коллег и решили сопоставить будни наших учёных, будь они сериями "Смешариков". Некоторые названия невероятно точно передают смыслы и эмоции😜 Всех узнали?

😁12❤‍🔥5💯2

5 Aug 2026, 11:13 UTC170 views11 reactionsread 8 August 2026
Photo

🧬 Российские вакцины против рака: революция в онкологии или тонкий расчет? Академик Гинцбург анонсировал препараты от нескольких видов опухолей, но как именно они обучают наш иммунитет распознавать врага? Все детали «молекулярной магии» для т/к "МИР 24" раскрыла наш эксперт, зав.лаб молекулярных биотехнологий НИИ ЭО и БМТ ПИМУ Ирина Дружкова: Фото: Shutterstock/FOTODOM/ Roman Zaiets

🔥74

4 Aug 2026, 07:09 UTC200 views19 reactionsread 8 August 2026
Photo

Когда на работе не только продуктивно, но и вкусно! 😄 Коллеги из ИПФ РАН устроили настоящий витаминный праздник и поделились щедрыми дарами лета. Приятно, когда рабочие будни в НИИ разбавлены такой заботой и отличным настроением! 🍎 🍏

🔥95👏5

3 Aug 2026, 08:39 UTC222 views6 reactionsread 8 August 2026
Forwarded from @ipfranPhoto

⚛️Рак глазами онколога и физика ИПФ РАН запускает новый научно-популярный лекторий «Iuvenes» (от лат. iuvenes — «молодые»). Это молодежный формат научпопа: неформальные лекции, живое общение, бар и вкусная кухня в арт-пространстве «НАЙС» В программе: ⭐️«Я погуглил – у меня рак: как правильно жаловаться врачу» Виктория Моничева, лаборант научной лаборатории регенеративной медицины НИИ ЭО и БМТ, расскажет, можно ли

6

31 Jul 2026, 07:02 UTC313 views15 reactionsread 8 August 2026
Video

В основном, на гранты живём🤣

🔥122💔1

30 Jul 2026, 08:42 UTC313 views13 reactionsread 8 August 2026
Photo

Комплимент от шефа😏 Уже видели его интервью ректора ПИМУ Николая Карякина Руслану Станчеву? Большой разговор о развитии науки в Нижнем Новгороде. Так уж вышло, что большинстов тем и грантов РНФ связано с нашим НИИ🫠 🔥 Гордимся, радуемся и смотрим полную версию здесь: https://max.ru/channel_razumnno/AZ-s3utmRd0

🔥103

24 Jul 2026, 13:17 UTC430 views20 reactionsread 8 August 2026
Photo

Наши звезды на Школе РНФ в Нижнем Новгороде! 🌟🎓 Всего 10 минут на презентацию — и максимум научной пользы. Ученые НИИ ЭО и БМТ представили свои проекты, поддержанные Российским научным фондом: 🔹 Вадим Елагин рассказал о механизмах борьбы с супербактериями, устойчивыми к антибиотикам. 🔹 Светлана Родимова поделилась, как крошечная молекула микроРНК может стать ключом к регенерации печени. Гордимся и желаем новых нау

🔥137

24 Jul 2026, 11:19 UTC325 views8 reactionsread 8 August 2026
Video

На Школе РНФ нет запретных тем! 👀 Вдохновляющее от Андрея Блинова — заместителя генерального директора РНФ Что спросим?

🔥8

23 Jul 2026, 17:53 UTC325 views20 reactionsread 8 August 2026
Photo

Наши биологи прошли аккредитацию наравне с врачами😏 Да-да, теперь они тоже умеют проводить СЛР. Полине и Кате это нужно для допуска к работе с пациентами. Пока больше ничего скажем, но всё ради грандиозной и масштабной задачи💥

🔥20

23 Jul 2026, 12:13 UTC326 views13 reactionsread 8 August 2026
Photo

Из Мексики и Турции — за научным драйвом! Три недели пролетели как один день: наш НИИ стал домом для молодых исследователей из Турции (Розина) и Мексики (Минервы). Это было время полной перезагрузки, практики без границ и настоящей научной дружбы!🤝🌎 Под руководством наших опытных сотрудников девчонки не просто погрузились в теорию, а на три недели стали частью нашей команды: — Наблюдали реакцию собственной кожи на

5🔥5💅3

Showing the 11 most recent of 11 posts we hold for @nii_i_tochka. 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

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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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 14 September 2026 — this entry's latest reading, not the date you are reading this.

“НИИ и точка” (@nii_i_tochka), 696 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/nii_i_tochka.

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.