📢 Call for Research Collaboration | Co-Authorship Opportunity 📌 Project Code: #50 📆 Date Posted: 6 November 2026 📚 Study Design: Systematic Review and Meta-Analysis 🔬 Field/Scope:#InternalMedicine, #Musculoskeletal & #Pharmacology ✒️ Role & Task: Drafting the complete manuscript (full manuscript) ⏳ Timeline: 1 to 2 weeks 🎯 Target Indexing: ISI / Scopus – Q2 ⚖️ Authorship & Ethics: Participation and authorship are s…

Channel
Dermatology Atlas
@Dermatology_Atlas
On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
8,377subscribers
+99 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001420739214 |
|---|---|
| Type | Channel |
| Username | @Dermatology_Atlas |
| Description | This Channel is intended to be photographic guidance for dermatologists and non-dermatologists, such as family physicians, physician assistants, nurse practitioners, and medical students, who are often on the frontline in treating skin problems. |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/Dermatology_Atlas |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 4 other registered channels, 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 15:51 | 8,377 | +1 |
| 2 Nov 2026, 23:47 | 8,376 | -1 |
| 30 Oct 2026, 14:28 | 8,377 | -7 |
| 27 Oct 2026, 12:59 | 8,384 | +2 |
| 24 Oct 2026, 10:34 | 8,382 | +1 |
| 21 Oct 2026, 13:39 | 8,381 | +3 |
| 18 Oct 2026, 02:18 | 8,378 | +6 |
| 15 Oct 2026, 00:15 | 8,372 | +7 |
| 11 Oct 2026, 19:40 | 8,365 | +13 |
| 5 Oct 2026, 05:18 | 8,352 | +15 |
| 26 Sept 2026, 13:38 | 8,337 | +42 |
| 15 Sept 2026, 03:57 | 8,295 | +6 |
| 11 Sept 2026, 05:57 | 8,289 | +6 |
| 5 Sept 2026, 23:22 | 8,283 | +1 |
| 2 Sept 2026, 04:53 | 8,282 | -3 |
| 29 Aug 2026, 22:53 | 8,285 | -1 |
| 27 Aug 2026, 08:08 | 8,286 | -5 |
| 24 Aug 2026, 15:03 | 8,291 | -7 |
| 20 Aug 2026, 15:47 | 8,298 | +7 |
| 17 Aug 2026, 21:24 | 8,291 | first reading |
Engagement
94 posts held, back to 31 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 28 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.45%
- avg views ÷ 8,377 subscribers
- Avg views / post
- 289
- 18 posts measured
- Reaction rate
- 0.352%
- reactions ÷ views · ER floor
- Posts in window
- 19
- of 94 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 4 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 94 (31 March 2026 – 6 November 2026) |
| Views total | 5,197 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 23:27 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
- 319
- Videos
- 1
- Links
- 346
Lifetime counters from Telegram’s own channel header, read 6 November 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
21 reactions across 16 posts, in 3 distinct kinds. The most used accounts for 90.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 90.5% | |
| 👍 | 1 | 4.76% | |
| 😁 | 1 | 4.76% |
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 18 of the 94 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 94 most recent posts we hold, published 31 March 2026 to 6 November 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
Telegram’s own ‘edited’ marker: 0 of 19 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Dermatology Atlas pinned a photo
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Showing the 12 most recent of 94 posts we hold for @Dermatology_Atlas. 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
@Mediccount · 6,66922 posts🎥 Armando Hasudungan Videos🩺
@Armando_medical_videos · 12,0491 postCardiology Cases
@Cardiology_Cases · 4,5181 postCardiology Premium Videos🩺
@Cardiology_premium_videos · 15,0411 postCrash course🩺
@Crash_premium_course · 2,2931 postlectures
@Drnajeeb_premium_videos · 2,2401 postLearn ECG Easily
@ECG_Videoes · 21,9431 postInternal medicine Videos and Books 📚
@Internal_medicine_material · 20,8331 postLecturio Videos
@lecturio_videoo · 1,7291 postMedcram Videos🩺
@Medcram_videos · 2,2891 postMedical MCQs🩺
@medical_MCQs_official · 16,7161 postOnline medED🩺
@Online_medEDs · 12,9011 postGeneral Physical Examination
@Physical_Examinationn · 21,2181 postMedical Notes
@premium_Medical_Note · 14,1241 postRadiology_Board Review
@Radiology_Boardd · 11,3761 post
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.
@atlasofdermathology · 23,514
Telegram ranks this channel #2 of 81 here — alongside 80 others — read 26 September 2026
@dermatology_Y · 27,759
Telegram ranks this channel #2 of 63 here — alongside 62 others — read 21 September 2026
@pediatricuptodate · 24,400
Telegram ranks this channel #12 of 67 here — alongside 66 others — read 28 September 2026
@USMLERECALLS2021 · 30,547
Telegram ranks this channel #15 of 73 here — alongside 72 others — read 6 September 2026
@medical_mnemonics · 65,028
Telegram ranks this channel #24 of 70 here — alongside 69 others — read 26 August 2026
@pharmacology2017 · 32,053
Telegram ranks this channel #70 of 80 here — alongside 79 others — read 5 September 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“Dermatology Atlas” (@Dermatology_Atlas), 8,377 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/Dermatology_Atlas.
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.