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Channel

Tıp Öğrencileri Ders Notları

@tipdersnotlari

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

10,714subscribers

+100 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001887591185
TypeChannel
Username@tipdersnotlari
Descriptionİletişim @iletisimchatt_bot
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/tipdersnotlari

Growth

10,61410,71410,6647 August 2026 — 10,614 subscribers8 August 2026 — 10,629 subscribers8 August 2026 — 10,631 subscribers9 August 2026 — 10,642 subscribers10 August 2026 — 10,663 subscribers11 August 2026 — 10,666 subscribers13 August 2026 — 10,683 subscribers14 August 2026 — 10,694 subscribers15 August 2026 — 10,714 subscribers7 August 202615 August 2026
9 measurements spanning 8 days, net +100. 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 10,599–10,729 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 16:1410,714+20
14 Aug 2026, 07:1410,694+11
13 Aug 2026, 00:5810,683+17
11 Aug 2026, 21:4310,666+3
10 Aug 2026, 21:3710,663+21
9 Aug 2026, 19:4210,642+11
8 Aug 2026, 23:1410,631+2
8 Aug 2026, 00:5110,629+15
7 Aug 2026, 13:4610,614first reading

Engagement

56 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.59%
avg views ÷ 10,714 subscribers
Avg views / post
278
50 posts measured
Reaction rate
0.385%
reactions ÷ views · ER floor
Posts in window
56
of 56 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 6 of 50 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held56 (3 August 202615 August 2026)
Views total13,875
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 19:03 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
5
Videos
5
Links
872

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
30s
Average length
30s

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.

Reaction mix

7 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
457.1%
👍342.9%

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 56 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 3 August 2026 to 15 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

15 Aug 2026, 18:09 UTC32 viewsread 15 August 2026
File

🔷 Bazal Ganglionlar 🟩 Kategori: #Nöroloji 🔴 Kitap Özeti Bu sunum, bazal ganglionların anatomisi, işlevleri ve nörolojik sistemdeki rolünü kapsamlı bir şekilde ele almaktadır. Bazal ganglionlar, hareket kontrolü, öğrenme ve ödül mekanizmalarında önemli bir rol oynamaktadır. Parkinson hastalığı ve diğer nörolojik bozukluklarla ilişkisi de incelenmektedir. Tıp öğrencileri, nöroloji uzmanları ve sağlık profesyonelleri i

15 Aug 2026, 15:59 UTCviews —

Tıp Öğrencileri Ders Notları pinned «📢 Tıp Grubu 🏥 Sadece tıpçılar için sohbet grubu. ⚠️ Tıpçı olmayanlar lütfen katılmak için istek atmasın.»

15 Aug 2026, 15:59 UTC72 viewsread 15 August 2026

📢 Tıp Grubu 🏥 Sadece tıpçılar için sohbet grubu. ⚠️ Tıpçı olmayanlar lütfen katılmak için istek atmasın.

15 Aug 2026, 05:14 UTC150 viewsread 15 August 2026
Forwarded from @magfiadvertisement22

Posted without readable text

13 Aug 2026, 19:05 UTC256 viewsread 15 August 2026
Video

HAYDİ İYİLİK YAYININAAAAA 🌟 BU AKŞAM ⏰SAAT 22:00’DA ➡️Minik bir bebeğimizin tutunacak dalı, umudu olmak için bir araya geliyoruz.💯⤵️ 13/08/2026 TARİHİNDE YAPACAĞIMIZ YAYINIMIZDA SEN DE YANIMIZDA OL, SESİMİZE SES KAT. 🔊 KANALI OLAN KARDEŞLER PAYLAŞARAK DAHA ÇOK KALBE ULAŞMAMIZA VESİLE OLURSA SEVİNİRİZ🍬 (Rabbim ecrinizi versin) SMA BEBEĞİMİZİN GURUP LİNKİ⤵️ https://t.me/omerzekiieumutol YAYIN KANALI⤵️ https:/

13 Aug 2026, 06:45 UTC298 viewsread 15 August 2026
File

🔷 Cerebellum 🟩 Kategori: #Nöroloji 🔴 Kitap Özeti Bu sunum, beyincik (cerebellum) anatomisi, işlevleri ve nörolojik sistemdeki rolünü kapsamlı bir şekilde ele almaktadır. Beyincik, motor koordinasyon, denge ve öğrenme süreçlerinde kritik bir öneme sahiptir. Sunumda, beyinciğin yapısı, hastalıkları ve bu yapıların klinik önemi üzerinde durulmaktadır. Tıp öğrencileri, nöroloji uzmanları ve sağlık profesyonelleri için ö

13 Aug 2026, 05:15 UTC285 viewsread 15 August 2026
File

🔷 Xalqaro Türkiye Fakültesi 2. Kurs TIP 🟩 Kategori: #Tıbbi Eğitim 🔴 Kitap Özeti "Xalqaro Türkiye Fakültesi 2. Kurs TIP", tıp eğitimi alanında 2. sınıf öğrencileri için hazırlanmış bir ders kitabıdır. Kitap, temel tıbbi bilgileri, klinik becerileri ve sağlık hizmetleriyle ilgili konuları kapsamaktadır. Tıp öğrencileri için uygun bir kaynak olarak, derslerin içeriğini ve eğitim hedeflerini açıkça belirtmekte, öğrencil

12 Aug 2026, 19:34 UTC290 viewsread 15 August 2026
File

🔷 Sinir Sisteminin Fonksiyonel Organizasyonu 2021-2022 🟩 Kategori: #Nöroloji 🔴 Kitap Özeti "Sinir Sisteminin Fonksiyonel Organizasyonu 2021-2022", sinir sisteminin yapısı, işlevleri ve organizasyonu hakkında kapsamlı bilgiler sunmaktadır. Kitap, merkezi ve periferik sinir sisteminin bileşenlerini, sinir hücrelerinin işlevini ve sinyal iletim mekanizmalarını incelemektedir. Nöroloji öğrencileri, tıp öğrencileri ve sa

12 Aug 2026, 14:57 UTC297 viewsread 15 August 2026
File

🔷 Sinaptik İletişim 🟩 Kategori: #Nöroloji 🔴 Kitap Özeti Bu sunum, sinaptik iletişimin mekanizmalarını, türlerini ve nörolojik sistemdeki rolünü detaylandırmaktadır. Sinapslar, nöronlar arasındaki iletişimi sağlayarak, motor ve bilişsel işlevlerin düzenlenmesinde kritik öneme sahiptir. Sunumda, sinaptik iletimde yer alan nörotransmitterler, reseptörler ve sinaptik plastisite gibi kavramlar ele alınmaktadır. Tıp öğren

12 Aug 2026, 09:36 UTC309 viewsread 15 August 2026
File

🔷 2. Sınıf Türk Dili 🟩 Kategori: #Eğitim 🔴 Kitap Özeti "2. Sınıf Türk Dili", Türk dili ve edebiyatı eğitimi için hazırlanmış bir kaynak kitaptır. Kitap, dil bilgisi kuralları, okuma anlama becerileri ve yazma yeteneklerini geliştirmeye yönelik çeşitli etkinlikler içermektedir. Öğrencilerin Türkçe dilindeki temel becerileri kazanmalarına yardımcı olmayı amaçlamakta olup, öğretmenler ve öğrenciler için uygun bir eğiti

11 Aug 2026, 19:34 UTC345 viewsread 15 August 2026
File

🔷 2066_B2 İstanbul Yabancılar İçin Türkçe Çalışma Kitabı B2 2012 🟩 Kategori: #Dil Eğitimi 🔴 Kitap Özeti "2066_B2 İstanbul Yabancılar İçin Türkçe Çalışma Kitabı B2 2012", yabancılara Türkçe dilini öğretmeyi amaçlayan bir eğitim materyalidir. Kitap, dil bilgisi kuralları, kelime dağarcığı, okuma ve yazma becerileri üzerine odaklanmakta olup, B2 seviyesindeki öğrenciler için uygun aktiviteler ve pratik alıştırmalar içe

Showing the 12 most recent of 56 posts we hold for @tipdersnotlari. 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 — 188,250 of 1,480,688entries 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 3 registered channels — 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.

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

“Tıp Öğrencileri Ders Notları” (@tipdersnotlari), 10,714 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/tipdersnotlari.

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.