Pathology bytes by Dr Shagun Mehta pinned a photo

Channel
Pathology bytes by Dr Shagun Mehta
@PathologybytesbyDrShagunMehta
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
9,259subscribers
-4 since we began measuring on 15 September 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001746355980 |
|---|---|
| Type | Channel |
| Username | @PathologybytesbyDrShagunMehta |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 September 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/PathologybytesbyDrShagunMehta |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 10:39 | 9,259 | -4 |
| 15 Sept 2026, 12:22 | 9,263 | first reading |
Engagement
13 posts held, back to 3 May 2025 — 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 13 posts for this entry, the most recent from 15 August 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 14s
- Average length
- 14s
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
175 reactions across 6 posts, in 10 distinct kinds. The most used accounts for 89.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 157 | 89.7% | |
| 👍 | 4 | 2.29% | |
| 🖕 | 3 | 1.71% | |
| ⚡ | 2 | 1.14% | |
| ❤🔥 | 2 | 1.14% | |
| 😁 | 2 | 1.14% | |
| 😇 | 2 | 1.14% | |
| 👎 | 1 | 0.571% | |
| 👏 | 1 | 0.571% | |
| 🔥 | 1 | 0.571% |
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 13 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 175 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 3 May 2025 to 15 August 2025, 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
Acute pyelonephritis isn’t just ‘kidney infection’—it’s a full-blown battle inside the renal tissue. From neutrophil invasion and tubular destruction to scarring and deformity, this Robbins quick review covers it all. Perfect for that last-minute glance before exams. Save it for later.
❤28🔥1
Video, posted without a caption
❤9
Pathology bytes by Dr Shagun Mehta pinned a photo
You’ve studied enough. Now protect the only thing that matters — clarity tomorrow. You’re 90% done. Don’t let panic write the last 10%. Best Wishes to all the NEET PG Aspirants
❤52⚡2🖕2😇2👍1👏1
Pathology bytes by Dr Shagun Mehta pinned a photo
Dear Students, As promised , Presenting Patho Bytes - sharing the snapshots from my lecture for GENETIC DISEASES - INHERITANCE MNEMONICS( compiling the important ones to remember ) & Easy to revise during exam times. #DAMS #PATHOLOGY #ShagunMehta #NEETPG #FMGE #INICET
❤41❤🔥2🖕1😁1
Pathology bytes by Dr Shagun Mehta pinned a photo
Pathology bytes by Dr Shagun Mehta pinned a file
File, posted without a caption
❤19👎1
Pathology bytes by Dr Shagun Mehta pinned a file
📢 PATNA, ARE YOU READY? 🦴 The wait is over! Orthopaedics begins with a BANG 💥 🗓️ 1st June | DAMS Patna Join Dr. Tushar Mehta for his first ever Orthopaedics lecture in Patna — ⚡ Ultra-fast Rapid Revision 🧠 Followed by deep, exam-targeted Test Discussion This isn’t just a lecture. It’s a NEET PG mind-reset. It’s time to witness the magic of “Next Patient, Please!” live. 📍Open to all serious medicos of Bihar. 📚 Brin…
❤8👍3😁1
Showing the 12 most recent of 13 posts we hold for @PathologybytesbyDrShagunMehta. 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.
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.
@studywithdrdeepak · 24,853
Telegram ranks this channel #42 of 59 here — alongside 58 others — read 15 September 2026
@cereb_ellumacademy · 21,896
Telegram ranks this channel #65 of 67 here — alongside 66 others — read 22 September 2026
This channel appears in 2 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Pathology bytes by Dr Shagun Mehta” (@PathologybytesbyDrShagunMehta), 9,259 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/PathologybytesbyDrShagunMehta.
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.