JAMI MUALLIFLAR SONI 8TA SCOPUS Q1-Q2 O’ZBEK TILIDA: NEYROPEDAGOGIK TEXNOLOGIYALAR ASOSIDA BO‘LAJAK MAKTABGACHA TA’LIM PEDAGOGLARINING IJODIY QOBILIYATLARINI RIVOJLANTIRISH METODIKASINI TAKOMILLASHTIRISH Русский: Совершенствование методики развития творческих способностей будущих педагогов дошкольного образования на основе нейропедагогических технологий Improving the methodology of developing the creative abili…

Channel
SCOPUS HUB
@SCOPUSCOAUTHORS
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
843subscribers
+0 since we began measuring on 9 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003153749124 |
|---|---|
| Type | Channel |
| Username | @SCOPUSCOAUTHORS |
| Description | https://t.me/Scopuspublication Q1 Q2 HAMMUALLIFLIK Scopus bazasidagi jurnallar ✅ Chetel jurnalida tahrir hayati ✅ Web of science ✅ Tarjima ✅ +998977225599 @scopuskomilov |
| Created | 27 September 2025 — measured — dated from the channel’s first post |
| First recorded | 9 September 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/SCOPUSCOAUTHORS |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 12:22 | 843 | no change |
| 9 Sept 2026, 11:47 | 843 | first reading |
Engagement
12 posts held, back to 27 September 2025 — 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 24.5%
- avg views ÷ 843 subscribers
- Avg views / post
- 206
- 11 posts measured
- Reaction rate
- 0.291%
- reactions ÷ views · ER floor
- Posts in window
- 11
- 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 3 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 12 (27 September 2025 – 9 September 2026) |
| Views total | 2,269 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 12:22 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
- 11
- Links
- 11
Lifetime counters from Telegram’s own channel header, read 9 September 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 3 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 2 reactions 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 27 September 2025 to 9 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.
Recent posts
JAMI MUALLIFLAR SONI 8TA SCOPUS Q1 O’ZBEK TILIDA: O‘TKIR YURAK YETISHMOVCHILIGI; EHMRG SHKALASI; GERIATRIYA; XAVFNI PROGNOZLASH; ZAIFLIK (FRAILTY) SINDROMI; BNP (B-TIP NATRIURETIK PEPTID) Русский: Острая сердечная недостаточность; Шкала EHMRG; Гериатрия; Прогнозирование риска; Синдром старческой астении (хрупкости); BNP (натрийуретический пептид B-типа) Acute heart failure; EHMRG score; Geriatric; Risk predicti…
JAMI MUALLIFLAR SONI 8TA SCOPUS Q1-Q2 O’ZBEK TILIDA: OZIQ-OVQATNI QAYTA ISHLASH TIZIMLARIDA QISHLOQ XO‘JALIGI MAHSULOTLARIDAGI NUQSONLARNI AVTOMATIK ANIQLASH VA SARALASH UCHUN CHUQUR O‘RGANISH TIZIMI Русский: Система глубокого обучения для автоматического обнаружения дефектов и сортировки сельскохозяйственной продукции в интеллектуальной пищевой переработке A Deep Learning Framework for Automated Defect Detecti…
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JAMI MUALLIFLAR SONI 8TA SCOPUS Q1 O’ZBEK TILIDA: JISMONIY MASHQLAR FIZIOLOGIYASI; NERV-MUSHAK BIRIKMASI; MASHQ HAJMI · KAM EMASLIK SINOVI · JISMONIY KO‘RSATKICHLAR · OSTEOPOROZ Русский: Физиология физических упражнений; Нервно-мышечное соединение; Объём тренировок · Исследование не меньшей эффективности · Физическая работоспособность · Остеопороз Exercise physiology; Non‑inferiority trial · Physical performan…
JAMI MUALLIFLAR SONI 7TA SCOPUS Q1 O’ZBEK TILIDA: EEG; KONNEKTOM ASOSIDA BASHORATLI MODELLASHTIRISH; AMPLITUDA QOBIG‘I KORRELYATSIYASI; SILJISHDAN XOLI VAZNLANGAN FAZAVIY KECHIKISH INDEKSI; “KATTA BESHLIK” SHAXS XUSUSIYATLARI; TINCH HOLATDAGI FUNKSIONAL BOG‘LANISH. На русский ЭЭГ; Предиктивное моделирование коннектома; Корреляция амплитудной огибающей; Дебайасированный взвешенный индекс фазового запаздывания; Бо…
JAMI MUALLIFLAR SONI 8TA SCOPUS Q1-Q2 O’ZBEK TILIDA: NUQSONLARI MUHANDISLIK ASOSIDA MODIFIKATSIYALANGAN UIO-67 DA H₂O₂ DAN FAZOVIY DASTURLASHTIRILGAN FOYDALANISH: KISLOROD BILAN BOSHQARILADIGAN VA YAQIN INFRAQIZIL (NIR) NURLANISH ORQALI FAOLLASHTIRILADIGAN CDT/PDT/PTT SARATON TERAPIYASI Пространственно программируемое использование H₂O₂ в дефектно-инженерном UiO-67 для регулируемой кислородом CDT/PDT/PTT-терап…
JAMI MUALLIFLAR SONI 8TA SCOPUS Q1-Q2 O’ZBEK TILIDA: IQTISODIY VA TEXNIK KO‘RSATKICHLARNI HISOBGA OLGAN HOLDA ENERGIYA SAQLASH TIZIMLARIGA ASOSLANGAN AQLLI BINOLARDA MARKAZLASHTIRILMAGAN KO‘P MAQSADLI ENERGIYA BOSHQARUVI На русском: Децентрализованное многокритериальное управление энергией в умных зданиях на основе систем накопления энергии с учетом экономических и технических показателей A decentralized multi-…
JAMI MUALLIFLAR SONI 7TA SCOPUS Q2 O’ZBEK TILIDA: KURD ZOTLI QO‘YLAR; DGAT1; PPARGC1B; O‘SISH BELGILARI; DUMBA; GENETIK MARKERLAR; MARKERLAR YORDAMIDA SELEKSIYA На русском: Курдские овцы; DGAT1; PPARGC1B; признаки роста; курдюк; генетические маркеры; селекция с использованием маркеров Kurdi sheep; DGAT1; PPARGC1B; Growth traits; Fat-tail; Genetic markers; Marker-assisted selection position 1: position 2: posi…
JAMI MUALLIFLAR SONI 7TA SCOPUS Q1 O’ZBEK TILIDA: EEG; KONNEKTOM ASOSIDA BASHORATLI MODELLASHTIRISH; AMPLITUDA QOBIG‘I KORRELYATSIYASI; SILJISHDAN XOLI VAZNLANGAN FAZAVIY KECHIKISH INDEKSI; “KATTA BESHLIK” SHAXS XUSUSIYATLARI; TINCH HOLATDAGI FUNKSIONAL BOG‘LANISH. На русский ЭЭГ; Предиктивное моделирование коннектома; Корреляция амплитудной огибающей; Дебайасированный взвешенный индекс фазового запаздывания; Бо…
JAMI MUALLIFLAR SONI 7TA SCOPUS Q1 O’ZBEK TILIDA: SARKOPENIYA; BIOMARKERLAR; JISMONIY MASHQLAR FIZIOLOGIYASI; MIOKINLAR; NERV-MUSHAK BIRIKMASI; DIAGNOSTIK SAMARADORLIK. На русском языке: Саркопения; биомаркеры; физиология физических упражнений; миокины; нервно-мышечное соединение; диагностическая эффективность. Sarcopenia; Biomarkers; Exercise physiology; Myokines; Neuromuscular junction; Diagnostic performance …
JAMI MUALLIFLAR SONI 8TA SCOPUS Q1-Q2 O’ZBEK TILIDA: OSHQOZON OSTI BEZINING DUKTAL ADENOKARSINOMASIDA KRAS INGIBITORLARI BILAN DAVOLASHGA MOS BEMORLARNI TANLASH UCHUN KRAS MUTATSION PROFILLARINI ANIQLASH Defining KRAS Mutation Profiles to Guide the Selection of Candidates for KRAS Inhibitor Treatment in Pancreatic Ductal Adenocarcinoma На русском языке: Определение профилей мутаций KRAS для отбора пациентов с п…
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Channel created
Showing the 12 most recent of 12 posts we hold for @SCOPUSCOAUTHORS. 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.
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
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.
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.
“SCOPUS HUB” (@SCOPUSCOAUTHORS), 843 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/SCOPUSCOAUTHORS.
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.