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НаучныеПереводы.рф | Перевод научных текстов от кандидатов наук

@nauchperevod

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,953subscribers

-8 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001303535483
TypeChannel
Username@nauchperevod
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/nauchperevod

Growth

1,9531,9611,9577 August 2026 — 1,961 subscribers7 August 2026 — 1,961 subscribers8 August 2026 — 1,958 subscribers11 August 2026 — 1,954 subscribers15 August 2026 — 1,953 subscribers7 August 202615 August 2026
5 measurements spanning 7 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 1,952–1,962 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:391,953-1
11 Aug 2026, 15:131,954-4
8 Aug 2026, 14:411,958-3
7 Aug 2026, 20:451,961no change
7 Aug 2026, 19:001,961first reading

Engagement

12 posts held, back to 31 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.67%
avg views ÷ 1,953 subscribers
Avg views / post
71.7
12 posts measured
Reaction rate
2.26%
reactions ÷ views · ER floor
Posts in window
12
of 12 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. It is computed over the 8 of 12 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held12 (31 July 20267 August 2026)
Views total860
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 20:45 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

13 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 46.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍646.2%
323.1%
🔥215.4%
😁17.69%
😱17.69%

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 12 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 31 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.

Recent posts

7 Aug 2026, 15:49 UTC41 views1 reactionsread 7 August 2026

Просмотры статей: связь с цитированием, эффект выходного дня и сезонность В исследовании, опубликованном в журнале Scientometrics, автор решил проверить, насколько полезной метрикой являются обычные просмотры статей на платформе Springer. Проанализировав данные более 1500 публикаций из семи разных журналов за год, он пришел к следующим интересным выводам: Обычно нужно долго ждать, пока свежую работу начнут цитирова

👍1

7 Aug 2026, 10:23 UTC37 views2 reactionsread 7 August 2026
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Пятничное 😃 💬 МАКС 💙 ВК 🔬 НаучныеПереводы.рф

👍1😱1

6 Aug 2026, 16:23 UTC57 viewsread 7 August 2026
Photo

На Таманском полуострове нашли останки около 100 древних слонов и 40 гигантских носорогов. После трёхлетнего перерыва раскопки возобновили прямо на обрывистом берегу Азовского моря — и сезон принёс шесть черепов древних слонов. Место действительно редкое. На небольшой площади сосредоточены отложения с останками около 100 таманских слонов и 40 носорогов-эласмотериев. Такая концентрация костей на одном участке встреч

6 Aug 2026, 12:13 UTC58 viewsread 7 August 2026
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Подбор журналов Scopus по вашей теме: быстро и эффективно Ищете подходящие журналы для публикации? Мы предлагаем экспресс-подбор, который поможет вам выбрать оптимальные варианты из 30 000 журналов Scopus. За один день вы получите список из 40 журналов (Q1, Q2, Q3, Q4). Эта услуга будет полезна, если вы: — Ищете журнал для первой публикации — Хотите найти подходящие журналы по своей теме — Необходимы новые статьи

5 Aug 2026, 12:21 UTC74 views1 reactionsread 7 August 2026
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15 журналов ВАК по экономике. Часть 3. Подборка журналов ВАК по экономике – одна из самых востребованных тем среди аспирантов и соискателей. В перечне ВАК (по состоянию на апрель 2026 года) – 269 изданий, в той или иной степени связанных с экономическими науками. 💬 МАКС 💙 ВК 🔬 НаучныеПереводы.рф

🔥1

4 Aug 2026, 16:20 UTC76 viewsread 7 August 2026
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Открываем чат в комментариях 💬 МАКС 💙 ВК 🔬 НаучныеПереводы.рф

4 Aug 2026, 09:20 UTC78 views1 reactionsread 7 August 2026
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Перевод научных статей для Scopus: как российские журналы решают проблему перевода и что изменится в 2027 году Для индексации в Scopus достаточно перевести метаданные статьи на английский. Но многие российские журналы идут дальше и выпускают полнотекстовую английскую версию, чтобы повысить цитируемость и привлечь зарубежных авторов. Как они решают вопрос перевода? Мы опросили 867 журналов, входящих в Scopus, и выяс

👍1

3 Aug 2026, 14:19 UTC82 views1 reactionsread 7 August 2026
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Новости науки: открытия российских учёных за июль. Открытий много, но мы выбрали самые интересные по данным РНФ. 1) 💡 Исследователи из Института биохимии и физиологии микроорганизмов имени Г.К. Скрябина РАН совместно с коллегами обнаружили в структуре бактериолитического фермента Blp участок, который отвечает за его связывание с клеточной стенкой бактерий. Открытие поможет создавать более эффективные ферментные пре

🔥1

3 Aug 2026, 08:18 UTC71 views1 reactionsread 7 August 2026
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Со страхом в неизведанное 💬 МАКС 💙 ВК 🔬 НаучныеПереводы.рф

😁1

1 Aug 2026, 12:33 UTC95 viewsread 7 August 2026
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Что умеет Eva English? 1) Режим разговора Eva English поддерживает живые диалоги – можно писать или говорить голосом, а бот понимает и отвечает как реальный собеседник. Она помогает выразить мысль, подсказывает фразы и не оценивает – можно говорить свободно, без страха ошибок. 2) Режим переводчика Если забыли слово или фразу – просто напишите, и Eva English не только переведёт, но и покажет пример использования в

1 Aug 2026, 07:17 UTC92 views4 reactionsread 7 August 2026

🔍 Google убирает «галлюцинации» из науки: встречайте Science One Framework Каждый, кто работал с нейросетями, знает эту боль — модель уверенно выдаёт несуществующие цитаты и ссылки на статьи, которых нет в природе. Google представил экспериментальный прототип Science One Framework, чтобы закрыть эту проблему. Как это устроено: 📌 Режим детектива. ИИ сам ищет публикации, датасеты и документацию, анализирует их и отб

3👍1

31 Jul 2026, 04:57 UTC99 views2 reactionsread 7 August 2026
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Как молодому ученому разобраться в научных публикациях? Для современного исследователя публикация научных результатов стала обязательной составляющей профессиональной деятельности. Именно опубликованные статьи подтверждают научную новизну исследования, позволяют пройти государственную научную аттестацию, участвовать в конкурсах, получать гранты, повышать рейтинг университета и формировать собственную научную репутац

👍2

Showing the 12 most recent of 12 posts we hold for @nauchperevod. 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 — 1,145,887 of 1,480,944entries 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

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

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

“НаучныеПереводы.рф | Перевод научных текстов от кандидатов наук” (@nauchperevod), 1,953 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/nauchperevod.

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.