3 measurements spanning 7 days, net +6. 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 112–120 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 22:25
119
+6
9 Aug 2026, 06:31
113
no change
7 Aug 2026, 23:33
113
first reading
Engagement
18 posts held, back to 14 April 2026 — 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
71.4%
avg views ÷ 119 subscribers
Avg views / post
85.0
1 post measured
Reaction rate
5.88%
reactions ÷ views · ER floor
Posts in window
1
of 18 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
Window
Rolling 30 days · latest post in window 8 August 2026
Posts held
18 (14 April 2026 – 8 August 2026)
Views total
85
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 06:31 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
Video runtime
23m 12s
Average length
1m 56s
Measured directly from 12 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
46 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
23
50.0%
🔥
14
30.4%
❤
7
15.2%
🎉
1
2.17%
💯
1
2.17%
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 14 of the 18 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 46reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 14 April 2026 to 8 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.
📚 Bugun O‘zbekistonning yetakchi nashriyotlari vakillari bilan muhim uchrashuv bo‘lib o‘tdi.
Uchrashuv davomida SLIB.UZ bazasining faoliyati, uning imkoniyatlari va ilmiy nashriyotlar uchun taqdim etayotgan xizmatlari muhokama qilindi.
Alohida e’tibor nashriyotlar bugungi kunda duch kelayotgan muammolar va dolzarb masalalarga qaratildi. Nashriyot vakillari bilan mavjud muammolarni batafsil muhokama qilib, ularning ye…
💙💙💙
📣 Xalqaro ilmiy ma’lumotlar bazalaridan yagona platforma orqali o‘zbek tili interfeysida erkin foydalanish imkoniyati yaratildi
Innovatsion rivojlanish agentlligi huzuridagi Ilmiy-texnik axborot markazi hamda "Ilmiy tadqiqotchilar va innovatorlar assotsiatsiyasi" jamoat birlashmasi hamkorligida xalqaro ilmiy ma’lumotlar bazalariga yagona kirish imkonini beruvchi SData (sdata.uz) platformasi ishga tushirildi.
P…
SLIB.uz — ilmiy jurnallar, mualliflar, taqrizchilar va tahririyatlar uchun yaratilgan zamonaviy raqamli platforma.
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✅ eTaqriz.uz orqali taqrizlash
✅ DOI va ROI integratsiyasi
✅ Jurnal boshqaruvi va monitoringi
✅ Jurnal web saytini yaratish
SLIB.uz ilmiy maqolalarni qabul qilishdan tortib, nashr etishgacha bo‘lgan barcha jar…
Kuchli tadqiqot yozishdan oldin, kuchli adabiyot topish kerak.
Ko‘pchilik izlanuvchilar dissertatsiya yoki maqola yozishni boshlaydi, lekin mavzu bo‘yicha avval nimalar qilinganini yetarlicha o‘rganmaydi.
Aslida ilm-fan yangi fikr aytishdan oldin mavjud bilimlarni chuqur tahlil qilishdan boshlanadi. Shu jihatdan SLIB.UZ kabi ilmiy manbalarni jamlagan platformalar tadqiqotchilar uchun muhim vosita hisoblanadi.
Chun…
SLIB.UZ — Mahalliy ilmiy jurnallar va maqolalarni
bir platformada jamlagan raqamli resurs.⚡️
🤩Platformada O'zbekistonning yetakchi universitetlar va ilmiy muassasalar jurnallari mavjud. 🇺🇿
🤩 Shuningdek, ilmiy faoliyatdagi ko‘plab muammolar uchun zamonaviy yechim.✅
📱 Telegram | 🟥 YouTube
📷 Instagram | 👥 Facebook
📚ADMIN.SLIB.UZ|Jurnal mas'ullari kelib tushgan maqola arizasini ko'rib chiqish va chop etish jarayoni
Admin.slib.uz ga kirib, "Maqola arizalari" bo'limini oching.
1️⃣ Ariza ma'lumoti — maqola ma'lumotlar
2️⃣Texnik ekspertiza — Antiplagiat, AI Detector va savodxonlik tekshiruvi
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4️⃣ To'lov —to'lov amalga oshiriladi
5️⃣Yaku…
Admin.slib.uz tizimida eski maqollarni qo'shish bo'yicha video qo'llanma.
✅ Maqola nomini 3 tilda kiriting
✅ Muallif va kalit so'zlarni qo'shing
✅ Annotatsiya va adabiyotlarni to'ldiring
✅ PDF faylni yuklang va yuboring — tayyor!
Savol va murojaatlar uchun:
📞+998773340009
📩@Slibuz_support
Telegram | YouTube
Instagram | Facebook
SLIB.UZ admin panelida yangi nashr qo'shish | Video qo'llanma
1️⃣ Admin panelga kiring
2️⃣ Bosh sahifa yoki "Nashrlar" menyusi orqali "Nashr qo'shish" tugmasini bosing
3️⃣ Nashr nomi, sana, tom va sonni kiriting
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6️⃣ "Yaratish" tugmasini bosing ✅
Savol va murojaatlar uchun:
📞+998773340009
📩@Slibuz_support
Telegram | YouTube
Instagram | Facebook
O‘zbekistonda ilmiy daraja olishdagi to‘siqlar hamda mamlakatimizda ilmiy salohiyat sifatini yanada rivojlantirish
Dolzarb podcast / Mamlakatimizda ilmiy salohiyatni rivojlantirish
Podcast davomida:
Bugun olimlarda ilmiy daraja bilan ilmiy salohiyat qanchalik mutanosib?
“Yirtqich” jurnal (predatory journal) qanday bo‘ladi?
“Qaroqchi jurnal”lar domiga tushib qolgan olimning pulidan tashqari obro‘si ham kuyadimi?
Ant…
Admin.slib.uz platformasida jurnalning shaxsiy web saytini yaratish bo‘yicha video qo‘llanma
📹TO'LIQ VIDEONI TOMOSHA QILING
Savol va murojaatlar uchun:
📞+998773340009
📩@Slibuz_support
Telegram | YouTube
Instagram | Facebook
Admin.slib.uz platformasida jurnal ma'lumotlarini tahrirlash bo‘yicha video qo‘llanma
📹TO'LIQ VIDEONI TOMOSHA QILING
Savol va murojaatlar uchun:
📞+998773340009
📩@Slibuz_support
Telegram | YouTube
Instagram | Facebook
SLIB.UZ platformasining yangi versiyasi ishga tushirildi!
admin.slib.uz platformasining yangilangan versiyasida jurnal mas'ullari uchun quyidagi yangi imkoniyatlar taqdim etildi:
1) Balans, to'lovlar va monitoring
Jurnallar endi o'z balansini mustaqil yuritish imkoniyatiga ega. Balansni to'ldirish orqali tizim xizmatlaridan uzluksiz foydalanish yo'lga qo'yildi.
2) Shaxsiy veb-sayt yaratish imkoniyati
Har bir jurna…
🔥3❤1🎉1
Showing the 12 most recent of 18 posts we hold for @SLIBUZ. 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 — 904,758 of 1,350,102entries 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
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“SCIENTIFIC LIBRARY OF UZBEKISTON (SLIB.uz)” (@SLIBUZ), 119 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/SLIBUZ.
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.