Channel
@ilmiyishlaryozish
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
9subscribers
-46 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003839446104 |
|---|---|
| Type | Channel |
| Username | @ilmiyishlaryozish |
| Created | Between 1 February 2026 and 2 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/ilmiyishlaryozish |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 19:16 | 9 | -47 |
| 10 Aug 2026, 07:46 | 56 | no change |
| 7 Aug 2026, 20:01 | 56 | +1 |
| 6 Aug 2026, 21:01 | 55 | first reading |
20 posts held, back to 2 March 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
36 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 27 | 75.0% | |
| 🔥 | 5 | 13.9% | |
| 👏 | 2 | 5.56% | |
| 👎 | 1 | 2.78% | |
| 😱 | 1 | 2.78% |
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 17 of the 20 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 March 2026 to 9 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.
📊 MAGISTRATURA–2026: 64 MINGDAN ORTIQ ARIZA, BIR O‘RINGA 2,65 NAFAR TALABGOR ✅2026/2027-o‘quv yili uchun O‘zbekiston davlat oliy ta’lim tashkilotlari magistraturasiga hujjat topshirganlar soni 64 455 nafarga yetdi. 👩🎓 Jinslar kesimida: 🔴ayollar — 49 514 nafar yoki 76,8%; 🔵erkaklar — 14 941 nafar yoki 23,2%. ✅Demak, magistraturaga hujjat topshirgan har to‘rt talabgorning uchtadan ko‘prog‘ini ayollar tashkil etmoqda…
😱1
📝 ILMIY MAQOLA ANNOTATSIYASI QANDAY YOZILADI? Annotatsiya — maqola mazmunining oddiy qisqartmasi emas. U o‘quvchiga tadqiqot nima sababdan o‘tkazilgani, qanday usullar qo‘llangani va qanday natijaga erishilganini qisqa hamda aniq ko‘rsatishi kerak. Sifatli annotatsiya quyidagi 5 qismdan tuziladi: 1️⃣ Muammoning dolzarbligi Tadqiqot nima sababdan muhim ekanini 1–2 jumlada ko‘rsating. Mavzu haqida umumiy va uzun t…
👍1
📊 ILMIY TADQIQOT UCHUN IJTIMOIY SO‘ROVNOMA TAYYORLASH XIZMATI 👎Dissertatsiya, ilmiy maqola, magistrlik yoki bitiruv malakaviy ishingiz uchun ijtimoiy so‘rovnoma o‘tkazishingiz kerakmi? Tadqiqot mavzusi va maqsadiga mos ravishda professional so‘rovnoma ishlab chiqamiz. Xizmat doirasida👇: ✅ Tadqiqot maqsadiga mos savollar tuzish ✅ Yopiq, ochiq va shkalali savollarni ishlab chiqish ✅ Respondentlar toifasini belgilash…
👍1
🤖 ILMIY ISHDA SUN'IY INTELLEKT: MUMKINMI YOKI YO'QMI? ChatGPT va shunga o'xshash vositalar paydo bo'lgach, izlanuvchilarda bitta savol: bulardan foydalansam, ishim rad etiladimi? Chegarani aniqlab olaylik 👇 📢✔️ RUXSAT ETILADI (aqlli yordamchi sifatida): ✅ Adabiyotni tez o'rganish — uzun maqolani qisqacha tushunish, asosiy g'oyani ajratish. ✅ G'oya va reja tuzish — mavzuni qaysi tomondan yoritishni o'ylashda, tuzilma…
👍1
💼 Dissertatsiya — uzoq va mas'uliyatli yo'l. Uni yolg'iz bosib o'tish shart emas. ✅ Ilmiy apparatni to'g'ri qurish, boblarni tuzilmaga solish, avtoreferat va taqdimotni tayyorlash, havolalar va adabiyotlar ro'yxatini talab darajasida rasmiylashtirish — har bir bosqichda yoningizda bo'lamiz. 👨🏫 Jamoamiz izlanuvchilarga metodik va texnik yordam ko'rsatadi. Maqsadimiz — ishingizni siz uchun yozib berish emas, balki un…
👍2
🖥 HIMOYA TAQDIMOTIDA ENG KO'P UCHRAYDIGAN 5 XATO Ishingiz a'lo bo'lishi mumkin, lekin komissiya avval slaydni ko'radi. Mana nimalardan qochish kerak 👇 1️⃣ Slaydga matnni "ko'chirish" Eng katta xato — butun xatboshilarni slaydga tashlash. Komissiya o'qishni boshlaydi, sizni eshitmaydi. Qoida: bir slaydda 6 qatordan ko'p emas, har qatorda 6-7 so'z. Slayd — tayanch, matn emas. 2️⃣ Slaydlar soni bilan adashish 10-15 da…
👍1
Qaysi mavzularda ko'proq post kutasiz?
The shares total 215%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
👍1🔥1
📊 SIZGA QAYSI MAVZU QIZIQ? Kanalni yanada foydali qilish uchun fikringiz kerak! Keyingi postlarni aynan siz so'ragan mavzularda tayyorlaymiz. Quyidagi so'rovnomada o'zingizga kerakli yo'nalish(lar)ni belgilang 👇 Bittadan ortiq variant tanlashingiz mumkin. Ovozingiz — keyingi haftalik reja! 👉 @ilmiyishlaryozish
📚 DARSLIK, O'QUV QO'LLANMA VA USLUBIY KO'RSATMA — FARQI NIMADA? Ko'p o'qituvchilar nashrga tayyorgarlik bosqichida aynan shu joyda adashadi. Farqni bilib olsangiz, ishingiz qaytarilmaydi 👇 📕 Darslik Fan dasturini to'liq qamrab oladi. Barcha mavzular ketma-ket, tizimli bayon qilinadi. Vazifasi — fanni noldan o'rgatish. Tuzilmasi: mavzu bayoni + nazorat savollari + tayanch tushunchalar + adabiyotlar. Talab eng qattiq:…
👍3
🎓 XIZMATLARIMIZ — 2-QISM Birinchi qismda rasmiylashtirish va tahrir haqida yozgandik. Endi ilmiy izlanuvchilar uchun ko'proq so'raladigan yo'nalishlar: 📄 Avtoreferat tayyorlash — dissertatsiya asosida avtoreferat tuzilmasini shakllantirish, talab etilgan bo'limlar bo'yicha rasmiylashtirish va nashrga tayyorlash. 🌐 Rus va ingliz tillariga tarjima — avtoreferat, annotatsiya va maqolalarni ilmiy uslubga rioya qilgan h…
👍2👏1
⚙️ WORDʻDA AVTOMATIK MUNDARIJA — 2 DAQIQADA Mundarijani qoʻlda terib, keyin sahifalari mos kelmay qolganmi? 😅 Bir marta toʻgʻri sozlang — Word hammasini oʻzi qiladi: 1-qadam. Har bir bob nomini belgilang → yuqoridagi “Styles” panelidan Heading 1 ni tanlang. 2-qadam. Paragraflar (1.1, 1.2...) uchun → Heading 2. 3-qadam. Mundarija turadigan sahifaga oʻting → References → Table of Contents → Automatic Table 1. 4-qadam.…
👍1
🔍 ANTIPLAGIAT FOIZINI HALOL OSHIRISHNING 5 USULI Koʻpchilik antiplagiatdan qoʻrqadi. Aslida sirlari oddiy: 1️⃣ Oʻz soʻzingiz bilan yozing, keyin havola qoldiring. Manbani oʻqing, yoping va fikrni oʻzingizcha bayon qiling. Oxirida [N] havolasini qoʻshing — bu plagiat emas, ilmiy madaniyat. 2️⃣ Iqtiboslarni toʻgʻri rasmiylashtiring. Qoʻshtirnoq ichidagi va havolali iqtiboslarni koʻp tizimlar hisobga olmaydi yoki alo…
👏1
Showing the 12 most recent of 20 posts we hold for @ilmiyishlaryozish. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Qaysi mavzularda ko'proq post kutasiz?
The shares total 215%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 2 March 2026 to 9 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“ILMIY MAQOLA VA TEZISLAR YOZISH, CHOP ETISH XIZMATI” (@ilmiyishlaryozish), 9 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/ilmiyishlaryozish.
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.