Channel
@prof_lapina
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
535subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002939912526 |
|---|---|
| Type | Channel |
| Username | @prof_lapina |
| Description | д.м.н., профессор кафедры акушерства и гинекологии РНИМУ им. Н.И. Пирогова, г. Москва |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/prof_lapina |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 03:49 | 535 | no change |
| 7 Aug 2026, 13:03 | 535 | first reading |
12 posts held, back to 16 July 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 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 6 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 12 (16 July 2026 – 7 August 2026) |
| Views total | 1,414 |
| Reactions total | 71 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:49 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.
Lifetime counters from Telegram’s own channel header, read 8 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.
71 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 50.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 36 | 50.7% | |
| 🤣 | 12 | 16.9% | |
| 👍 | 10 | 14.1% | |
| 🔥 | 8 | 11.3% | |
| ❤🔥 | 4 | 5.63% | |
| 🥰 | 1 | 1.41% |
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 6 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 71reactions 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 16 July 2026 to 7 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.
Как понять, что статья по анемии действительно свежая? В ней слово «гемоглобин» встречается реже, чем «ферритин». И это не шутка. Еще несколько лет назад большинство исследований были посвящены диагностике и лечению уже развившейся анемии. Сейчас фокус постепенно смещается на дефицит железа без анемии, особенно во время беременности. Почему? Потому что железо нужно не только для синтеза гемоглобина. Оно участвует в…
❤2🔥1
Ждете выход руководства «Анемии при беременности»?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Друзья, нужна ваша честная обратная связь. Выпускать руководство планирую в ближайшие дни. Хочу понять, сколько человек действительно ждут его. Пожалуйста, оставьте ваш честный голос ⬇️⬇️⬇️
Как часто читаете канал?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Кто вы?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Коллеги, давно хотела провести небольшой опрос ⬇️⬇️⬇️
Анемия при беременности: где заканчивается «просто низкий гемоглобин» и начинается полноценный диагностический поиск? Снижение Hb не всегда означает железодефицитную анемию. Нормальный гемоглобин не исключает истощения запасов железа, ферритин может повышаться на фоне воспаления, а отсутствие ответа на терапию требует пересмотра диагноза, а не автоматического увеличения дозы препарата. Мы подготовили практическое р…
❤6👍2
Только за последний год вышло сразу несколько крупных международных обзоров и рекомендаций. И знаете, что самое интересное? Оказывается, мы до сих пор знаем не всё. 🩸 Да, железо снижает риск развития железодефицита и анемии — это уже практически аксиома. Но когда ученые попытались найти убедительные доказательства, что универсальное назначение железа всем беременным уменьшает риск преэклампсии, преждевременных родов…
❤4🔥1
📍 Замки Блуа и Амбуаз, долина Луары, Франция. Приехала за историей, а нашла отличный наглядный материал для лекций по ожирению. Искусство неожиданно оказалось очень медицинским. Бонусом — +45°C, в тень хотелось даже скульптурам. ☀️😄
❤8👍6🔥6🤣1
Иногда мне кажется, что я пишу об очевидных вещах. О том, что знают все. Но в реальной практике я снова и снова сталкиваюсь с тем, что именно эти, казалось бы, базовые принципы чаще всего забываются. Например: 🩸 анемию диагностируют только по уровню гемоглобина 🩸 препараты железа назначают без оценки ферритина 🩸 отсутствие эффекта от терапии объясняют «тяжелым дефицитом», а не пересматривают диагноз 🩸 лечение прекра…
❤16👍2
Друзья!!! Закончился чемпионат мира!!! Все ночи прошли под множественные трансляции! Я или спала под матчи, или болела вместе с мужем и сыновьями или просто писала свою науку, понимая, что уйти нельзя! Купила им в подарок во Франции 3 футболки с лого ЧМ 2026 - мужу Испанию, детям - Аргентину и Францию (я практически осьминог Пауль 🐙) Теперь каждый болел за свою🤣🤣🤣 Муж, аллилуйя, победил… вопросов ко мне нет 🤣🤣🤣 ур…
🤣11❤🔥4🥰1
Профессор Лапина pinned «📌 5 ошибок в диагностике анемии у беременных, которые встречаются чаще всего Несмотря на современные рекомендации, в практике до сих пор встречаются ошибки, из-за которых пациентки получают неэффективное лечение или, наоборот, не получают его вовсе. Я подготовила…»
Showing the 12 most recent of 12 posts we hold for @prof_lapina. 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 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Ждете выход руководства «Анемии при беременности»?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Как часто читаете канал?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Кто вы?
Shares as published. No per-option vote count is published by Telegram, so none is 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 12 most recent posts we hold, published 16 July 2026 to 7 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.
Citation-graph rank — 558,563 of 1,183,361entries 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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Профессор Лапина” (@prof_lapina), 535 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/prof_lapina.
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.