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Channel

КиберЛенинка

@CyberLeninka

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Cross-platform identity · Cite this entry

13,077subscribers

-23 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001044479242
TypeChannel
Username@CyberLeninka
Created29 March 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/CyberLeninka

Topic

Education — a classification, not a measurement. 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

13,07013,10513,087.55 August 2026 — 13,100 subscribers6 August 2026 — 13,100 subscribers6 August 2026 — 13,103 subscribers8 August 2026 — 13,105 subscribers9 August 2026 — 13,102 subscribers10 August 2026 — 13,097 subscribers14 August 2026 — 13,098 subscribers15 August 2026 — 13,094 subscribers16 August 2026 — 13,088 subscribers17 August 2026 — 13,087 subscribers19 August 2026 — 13,086 subscribers20 August 2026 — 13,083 subscribers21 August 2026 — 13,080 subscribers22 August 2026 — 13,079 subscribers24 August 2026 — 13,082 subscribers25 August 2026 — 13,081 subscribers26 August 2026 — 13,076 subscribers27 August 2026 — 13,073 subscribers28 August 2026 — 13,072 subscribers29 August 2026 — 13,071 subscribers31 August 2026 — 13,070 subscribers1 September 2026 — 13,071 subscribers2 September 2026 — 13,073 subscribers3 September 2026 — 13,078 subscribers5 September 2026 — 13,071 subscribers9 September 2026 — 13,077 subscribers13,0775 August 20269 September 2026
26 measurements spanning 34 days, net -23. 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 13,065–13,110 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
9 Sept 2026, 06:4113,077+6
5 Sept 2026, 22:3713,071-7
3 Sept 2026, 16:3513,078+5
2 Sept 2026, 06:4313,073+2
1 Sept 2026, 09:0513,071+1
31 Aug 2026, 11:2513,070-1
29 Aug 2026, 10:4613,071-1
28 Aug 2026, 08:3813,072-1
27 Aug 2026, 05:3813,073-3
26 Aug 2026, 02:3413,076-5
25 Aug 2026, 05:1313,081-1
24 Aug 2026, 03:3513,082+3
22 Aug 2026, 11:2913,079-1
21 Aug 2026, 00:4413,080-3
20 Aug 2026, 03:1113,083-3
19 Aug 2026, 00:1313,086-1
17 Aug 2026, 23:0213,087-1
16 Aug 2026, 22:2513,088-6
15 Aug 2026, 17:1613,094-4
14 Aug 2026, 07:5613,098first reading

Engagement

106 posts held, back to 29 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 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.90%
avg views ÷ 13,077 subscribers
Avg views / post
510
71 posts measured
Reaction rate
0.442%
reactions ÷ views · ER floor
Posts in window
71
of 106 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 58 of 71 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 2 September 2026
Posts held106 (29 July 20262 September 2026)
Views total36,193
Reactions total135
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:46 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

206 reactions across 82 posts, in 15 distinct kinds. The most used accounts for 54.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11254.4%
👍5727.7%
🔥188.74%
😁52.43%
😢20.971%
🤡20.971%
🤣20.971%
👎10.485%
💋10.485%
😨10.485%
🙏10.485%
🤔10.485%
🤪10.485%
🥰10.485%
🥴10.485%

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 91 of the 106 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 213 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 106 most recent posts we hold, published 29 July 2026 to 2 September 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.

Telegram Stars

Stars received
19
across the posts below
Posts paid on
12
of 106 we hold a reading for · 11%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CyberLeninka. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 106 most recent posts we hold for this entry, published 29 July 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

2 Sept 2026, 20:26 UTC47 viewsread 2 September 2026
Photo

Во времена античности основной антиномией являлось противопоставление «грек / римлянин - варвар», ядром которого являлась базовая бинарная оппозиция «Свой - Чужой». Для греков принцип полярности был одним из ведущих в их способе восприятия и изображения мира. Античные авторы пользовались аналитическим приёмом - мыслить «парами оппозиций», формулируя противоположности, которые, по их мнению, структурировали мир. Чита

2 Sept 2026, 15:33 UTC203 viewsread 2 September 2026
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Африка - один из наименее развитых регионов мира. На сегодняшний день ряд стран континента не обладают собственной экономикой. Китай, с другой стороны, одна из наиболее динамично развивающихся экономик мира, которая проявляет активный интерес к странам Африки. Это интересное явление, и его изучение необходимо, чтобы определиться с тем, какие цели преследует КНР в своей внешней политике. Данная статья посвящена пробл

1 Sept 2026, 21:20 UTC353 views3 reactionsread 2 September 2026
Photo

Основным средством поиска литературы для курсовой должны стать специализированные поисковые системы и научные электронные библиотеки. Принцип поиска ничем не отличается — ты вводишь ключевые слова в строку и нажимаешь «Искать». Главное отличие состоит в том, что в результате ты получишь подборку из проверенных научных статей — с указанием авторства, года и места публикации. Читать: https://bibloid.ru/kursach/biblio

👍3

1 Sept 2026, 20:57 UTC327 views1 reactionsread 2 September 2026
Photo

Эскапи́зм (англ. escape — убежать, спастись) Одним из первых феномен «бегства от реальности» описывает в своем эссе «О волшебных сказках» Дж. Толкен, известный английский писатель, лингвист и филолог. В качестве объекта исследования эскапизм выступает в зарубежных культурно-философских работах. Так, китайский социолог Е. Ф. Туан рассматривает эскапизм как компонент любой культуры, которая, в свою очередь, имеет хара

1

1 Sept 2026, 18:00 UTC313 viewsread 2 September 2026

📗📘📙 Подборка научной литературы: Биопластик из пищевых отходов 1. Александрова Л. В., Успенская М. В., Ишевский А. Л. Обзор: биодеградируемые упаковочные пленочные материалы // Вестник Воронежского государственного университета инженерных технологий. 2023. Т. 85. № 2. С. 216-225. URL: https://cyberleninka.ru/article/n/obzor-biodegradiruemye-upakovochnye-plenochnye-materialy 2. Антипов С. Т., Шахов С. В., Жигулина М

1 Sept 2026, 13:59 UTC317 views1 reactionsread 2 September 2026
Photo

В статье автор рассматривает право человека, рожденного в результате использования вспомогательных репродуктивных технологий, знать своих родителей. Автор исследует зарубежный опыт урегулирования данного вопроса, предлагает механизм реализации данного права. Читать: https://cyberleninka.ru/article/n/tayna-proishozhdeniya-rebenka

1

31 Aug 2026, 20:22 UTC380 views2 reactionsread 2 September 2026
Photo

В первые несколько месяцев строятся отношения пища-эмоции-ощущения. Нередки случаи, когда непонимающая мать удовлетворяет какие-либо потребности ребенка, предлагая ребенку пищу, поэтому на более поздней стадии развития может проявляться неспособность индивида различать потребности и удовлетворять их через еду. Питание незаметно превращается в эмоционального удовлетворителя. Питание может быть использовано для заполн

1😁1

31 Aug 2026, 18:11 UTC345 views1 reactionsread 2 September 2026

📗📘📙 Подборка научной литературы: Использование товарного знака третьими лицами на маркетплейсах: критерии определения нарушения исключительного права 1. Ализаде Д. Э. Уголовно-правовая охрана прав на товарный знак (отечественный и зарубежный опыт) : автореферат дис. ... кандидата наук : 5.1.4 / Ализаде Джамиль Эльдар Оглы; [Место защиты: МГИМО]. - Москва, 2025. - 289 с. URL: https://open.mgimo.ru/bitstream/123456789

1

31 Aug 2026, 17:20 UTC325 views3 reactionsread 2 September 2026
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Изучение распределения учебной нагрузки позволило установить, что наибольший вклад в возникновение перегрузок вносят не основные, а сопутствующие виды учебной деятельности. Читать: https://cyberleninka.ru/article/n/kak-snizit-peregruzki-uchaschihsya

3

31 Aug 2026, 06:09 UTC372 views1 reactionsread 2 September 2026

📗📘📙 Подборка научной литературы: Польские дети в советских детских домах после 1939 года 1. Авимская М. А. Польская диаспора в западной Сибири в конце XIX - середине XX вв // Постсоветский материк. 2021. № 1 (29). С. 98-108. URL: https://cyberleninka.ru/article/n/polskaya-diaspora-v-zapadnoy-sibiri-v-kontse-hih-seredine-hh-vv 2. Аден А. Депортация. Поляки Казахской СССР // Qazcontent Tarihy : сайт. 2019. URL: https

1

30 Aug 2026, 20:33 UTC391 views1 reactionsread 2 September 2026
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Сторонники психологической концепции понимают под виной психическое отношение лица к совершаемому деянию и его последствиям. Автор приходит к выводу, что нельзя определять психологическую и оценочную концепции вины как противоположные. Рассматривая психологическую и оценочную концепции вины в неразрывном единстве, автор дает комплексное общеправовое понятие вины. Читать: https://cyberleninka.ru/article/n/kontseptsii

1

30 Aug 2026, 18:11 UTC411 views1 reactionsread 2 September 2026

📗📘📙 Подборка научной литературы: Влияние обвития пуповины на исход беременности 1. Брехман Г.И., Брехман Е.А. Качество рождения - пожизненный ресурс: пре-перинатальные аспекты в дискуссии о становлении личности // Журнал акушерства и женских болезней. 2020. Т. 69. № 1. С. 109-114. URL: https://cyberleninka.ru/article/n/kachestvo-rozhdeniya-pozhiznennyy-resurs-pre-perinatalnye-aspekty-v-diskussii-o-stanovlenii-lichno

1

Showing the 12 most recent of 106 posts we hold for @CyberLeninka. 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 1 registered channel — 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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q16663267 on Wikidata, read 6 September 2026
LabelCyberLeninka
DescriptionRussian scientific digital library
X / Twitter@CyberLeninka
Official sitehttps://cyberleninka.org/

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

“КиберЛенинка” (@CyberLeninka), 13,077 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/CyberLeninka.

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.