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Telegram profile photo for 🇺🇿🇺🇿 Scopus Web of science

Channel

🇺🇿🇺🇿 Scopus Web of science

@scopus_wos_uz

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,422subscribers

+23 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001429544458
TypeChannel
Username@scopus_wos_uz
DescriptionScopus va Web of science bazalaridagi jurnallar va hammualliflik maqolalari haqida ma'lumot berib boriladi Asosiy kanal: @ilmiyizlanuvchilar
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/scopus_wos_uz

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,3988,4228,4106 August 2026 — 8,399 subscribers7 August 2026 — 8,398 subscribers9 August 2026 — 8,405 subscribers12 August 2026 — 8,411 subscribers16 August 2026 — 8,422 subscribers6 August 202616 August 2026
5 measurements spanning 9 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 8,394–8,426 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 04:158,422+11
12 Aug 2026, 19:388,411+6
9 Aug 2026, 23:338,405+7
7 Aug 2026, 05:118,398-1
6 Aug 2026, 22:028,399first reading

Engagement

24 posts held, back to 27 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.9%
avg views ÷ 8,422 subscribers
Avg views / post
2,520
16 posts measured
Reaction rate
0.181%
reactions ÷ views · ER floor
Posts in window
16
of 24 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
WindowRolling 30 days · latest post in window 17 August 2026
Posts held24 (27 June 202617 August 2026)
Views total40,331
Reactions total73
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 05:33 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
230
Videos
7
Links
278

Lifetime counters from Telegram’s own channel header, read 18 August 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

136 reactions across 23 posts, in 6 distinct kinds. The most used accounts for 47.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6547.8%
👍3928.7%
🥰128.82%
🔥85.88%
👏75.15%
🎉53.68%

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 23 of the 24 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 136reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 27 June 2026 to 17 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

17 Aug 2026, 07:44 UTC841 views1 reactionsread 18 August 2026
Forwarded from @authorship_infoPhoto

✅ Хорижий муаллифлар билан тадқиқот иши учун ҳамкорлик (17-август) Scopus Q1/Q2 ✅ Йўналиш: Кончилик + AI + очиқ кон + портлатиш ишлари + тоғ жинслари фрагментацияси + машинали ўқитиш + оптималлаштириш ✅ Очиқ кон ишлари, бурғилаш-портлатиш ишлари, тоғ жинсларининг парчаланиши, портлатиш параметрлари, машинали ўқитиш, изоҳланувчи сунъий интеллект, фрагментацияни прогнозлаш, портлатишни оптималлаштириш, тоғ жинслар

1

16 Aug 2026, 13:31 UTC≈1,150 views5 reactionsread 18 August 2026
Forwarded from @authorship_info

✅ Хорижий тадқиқотчилар ҳаммуаллифлик SCOPUS Q1 ✅ Мавзу йўналиши / калит сўзлар: Кредит карта фирибгарлигини аниқлаш • Номувозанат маълумотлар • Машинали ўқитиш • Муҳим белгиларни танлаш • Изоҳланувчи сунъий интеллект • Чуқур ўқитиш ‼️ Мақола кредит карта орқали амалга ошириладиган транзакцияларда фирибгарлик ҳолатларини сунъий интеллект ва машинали ўқитиш усуллари ёрдамида аниқлашга бағишланган. Асосий эъти бор

4👏1

15 Aug 2026, 08:34 UTC≈1,360 views1 reactionsread 18 August 2026
Forwarded from @authorship_info

SCOPUS Q4 Ҳаммуаллиф бўлиш учун ИНДЕКС КАФОЛАТГА ЭГА 1) 1-тоифа диабетда қондаги глюкоза миқдорини бошқариш учун башорат уфқига асосланган мослашувчан тезкор сирпанма режимли бошқарувчи 2) Паркинсон касаллигида треморни бошқариш учун тез яқинлашувчи янги робаст нейрон бошқарувчини лойиҳалаш 3) Саратон ўсмаларида кимётерапия дори дозасини бошқариш учун силлиқ Super-Twisting алгоритмига асосланган белгиланган вақт

1

14 Aug 2026, 13:08 UTC≈1,480 views2 reactionsread 18 August 2026
Forwarded from @authorship_info

‼️ ҲАММУАЛЛИФЛИК УЧУН ТАКЛИФ ( 14-август) Scopus Q3/Q4 1 тадан муаллифга жой бор Индекс кафолатга эга 1️⃣ ) Цитокинлар ўртасидаги ўзаро таъсир ва молекуляр мимикрия: хавфли ўсмалар билан боғлиқ нефропатия механизмлари ҳақида янги қарашлар (SCOPUS Q4) 2️⃣ ) Гликемиядан ташқари: eGFR (коптокчалар фильтрациясининг ҳисобланган тезлиги)нинг турли даражаларида SGLT2 ингибиторларининг буйраклар фаолиятига узоқ муддатл

2

13 Aug 2026, 13:09 UTC≈1,680 views4 reactionsread 18 August 2026
Forwarded from @authorship_infoPhoto

✅ Хорижий тадқиқотчилар билан ҳамкорликдаги тадқиқот ✅ Йўналишлар: Нефть ва газ муҳандислиги, нефть қазиб олиш, EOR, нефт кимёси, кимёвий технология, сирт-фаол моддалар кимёси. ✅ ИНДЕКС КАФОЛАТГА ЭГА СИФАТЛИ ИЛМИЙ ЖУРНАЛДА НАШР ҚИЛИШ РЕЖА ҚИЛИНГАН ✅ SCOPUS Q1/Q2 Мавзу номи: Молекуляр олигомеризация — оғир қатлам шароитларида нефть қазиб олишни ошириш учун термик барқарор ва тузга чидамли катион сирт-фаол моддалар

4

12 Aug 2026, 11:02 UTC≈1,520 views2 reactionsread 18 August 2026
Forwarded from @authorship_infoPhoto

✅ ДИККАТ SCOPUS Q4 2 та жой бор Хорижий хаммуаллифлар билан хамкорликда ИНДЕКС Кафолатга эга ✅ Шаҳар ҳавосидаги токсинлар остеопороз ривожланишига таъсир қилувчи янги омиллар сифатида: молекуляр механизмлар ва эпидемиологик далиллар — тавсифий шарҳ тадқиқоти ✅ Токсины городского воздуха как новые факторы, способствующие развитию остеопороза: молекулярные механизмы и эпидемиологические данные — нарративный обзор

2

5 Aug 2026, 16:06 UTC≈2,780 views4 reactionsread 18 August 2026
Forwarded from @authorship_infoPhoto

✅ Хаммуаллиф булиш таклифи SCOPUS Q2 ✅ Мақола қурилиш муҳандислиги ва қурилиш материаллари соҳасига тегишли ✅ Асосий йўналишлари: бетон ва темир-бетон технологияси; пўлат толали бетон материаллари; материалларнинг сиқилишдаги мустаҳкамлиги; машинавий ўқитиш ва прогнозлаш; оптималлаштириш ва сезгирлик таҳлили. ✅ МАВЗУ: Пўлат толали бетоннинг сиқилишдаги мустаҳкамлигини прогнозли моделлаштириш: аниқлик ва тал

3🥰1

5 Aug 2026, 08:06 UTC≈2,050 views5 reactionsread 18 August 2026
Forwarded from @authorship_info

SCOPUS Q3 ТЕЗКОР НАШР 1 тадан жой бор арзон нархга хаммуаллиф кушиш мумкин 3) Recent Advances in O-Monofluoromethylation of Phenols for the Synthesis of Monofluoromethoxy Arenes: A focus review 4) Regioselective C2 and C3 Double C–H Sulfenylation of Indole derivatives: A mini review on progress and perspectives ✅ Саволлар: @azamat_umirzokov ✅ Канал: @authorship_info

2👍2🔥1

4 Aug 2026, 17:31 UTC≈2,130 views2 reactionsread 18 August 2026
Forwarded from @authorship_info

✅ SCOPUS Q3 ✅ ЯНГИ МАВзУ-3 август Хорижий муаллифлар билан 2 та жой бор ✅ Йуналиш: акушерлик ва гинекология; гинекологик онкология; тиббий радиология ва МРТ диагностикаси; тухумдон касалликларининг дифференциал диагностикаси. ✅ Мавзу номи: Тухумдон эндометриомаси ва муциноз цистаденомасини фарқлаш ташхисида магнит-резонанс томография хусусиятлари: тизимли шарҳ Магнитно-резонансные характеристики при дифференц

1🔥1

3 Aug 2026, 17:02 UTC≈2,160 views2 reactionsread 18 August 2026
Forwarded from @authorship_infoPhoto

✅ ДИККАТ 2 та жой бор Хорижий хаммуаллифлар билан хамкорликда ИНДЕКС Кафолатга эга ✅ Шаҳар ҳавосидаги токсинлар остеопороз ривожланишига таъсир қилувчи янги омиллар сифатида: молекуляр механизмлар ва эпидемиологик далиллар — тавсифий шарҳ тадқиқоти ✅ Токсины городского воздуха как новые факторы, способствующие развитию остеопороза: молекулярные механизмы и эпидемиологические данные — нарративный обзор Нашр: каб

1👍1

3 Aug 2026, 02:52 UTC≈2,710 views11 reactionsread 18 August 2026
Forwarded from @cntiuzPhoto

📣📣Scopus ma'lumotlar bazasi tomonidan olim, tadqiqotchi va talabalar uchun 4 ta moduldan iborat “Scopus Online Training” bepul onlayn kurslari taqdim etiladi. 11 ta darslarni o'z ichiga olgan kurslar orqali Scopus ma'lumotlar bazasi bilan ishlash, qidiruv parametrlari, muallif profilini o'rganish va boshqa ma'lumotlarga ega bo'lishingiz mumkin. 1-dars: Overview of journal metrics 2-dars: Understand how author prof

👍6🔥31🎉1

2 Aug 2026, 13:53 UTC≈2,500 views9 reactionsread 18 August 2026
Forwarded from @authorship_infoPhoto

✅ SCOPUS Q2 ✅ ХОРИЖИЙ ТАДКИКОТЧИЛАР БИЛАН БАЖАРИЛГАН ЛОЙИХА ✅ ХАМКОРЛИК ВА ХАММУАЛЛИФ БУЛИШ ИМКОНИ ✅ ИНДЕКС КАФОЛАТГА ЭГА ‼️ Илмий иш ҳимоялари(PhD, DSC) + 1030 устама+ШИР ҳисоьоти+Ташкилотлар рейтинглари+муаллифлар илмий профиллари учун махсус таклиф 📌 Мақола соҳаси: Қурилиш муҳандислиги ва йўл қурилиши+IT сохаси 🔹 Асфальт қоришмалари ва йўл қопламалари 🔹 Қурилиш материаллари 🔹 Транспорт инфратузилмаси 🔹 Маш

4👍3🥰2

Showing the 12 most recent of 24 posts we hold for @scopus_wos_uz. 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 — 943,708 of 1,548,671entries 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

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

UzA | Ilm-fan kanali
@uzauzilmfan · 121,706
Telegram ranks this channel #21 of 78 here — alongside 77 others — read 14 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“🇺🇿🇺🇿 Scopus Web of science” (@scopus_wos_uz), 8,422 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/scopus_wos_uz.

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.