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Channel
Pharma GPAT Videos
@PharmaExcel
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
8,996subscribers
-61 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 | -1001316326690 |
|---|---|
| Type | Channel |
| Username | @PharmaExcel |
| Description | Free Video Content, books, MCQ Tests for GPAT Students and Diploma Pharm Exit Exam. |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/PharmaExcel |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 16:06 | 8,996 | -24 |
| 20 Aug 2026, 03:56 | 9,020 | -7 |
| 17 Aug 2026, 10:46 | 9,027 | -20 |
| 14 Aug 2026, 03:48 | 9,047 | -6 |
| 11 Aug 2026, 05:38 | 9,053 | -3 |
| 8 Aug 2026, 11:06 | 9,056 | -1 |
| 7 Aug 2026, 14:01 | 9,057 | no change |
| 7 Aug 2026, 13:52 | 9,057 | first reading |
Engagement
22 posts held, back to 15 November 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 26 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 20.5%
- avg views ÷ 8,996 subscribers
- Avg views / post
- 1,850
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 22 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.
| Window | Rolling 30 days · latest post in window 23 August 2026 |
|---|---|
| Posts held | 22 (15 November 2025 – 23 August 2026) |
| Views total | 5,537 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Aug 2026, 20:22 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
- 185
- Links
- 411
Lifetime counters from Telegram’s own channel header, read 25 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.
Recent posts
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Pharmaceutical Dosage Forms Learn Free: https://onlinecourses.nptel.ac.in/e-learning/preview/noc26_ch79 Start Date: 20 Jul 2026 Useful for GPAT Aspirants 2027 Lecture 1: Introduction to Course and Course Plan Lecture 2: Fundamentals of pharmaceutical processes- Unit operations- milling Lecture 3: Fundamentals of pharmaceutical processes- Unit operations- mixing Lecture 4: Fundamentals of pharmaceutical processes- Uni…
Novel Drug Delivery Systems Free to learn Weekly MCQs For GPAT Aspirants 2027 Start Date: 20 July 2026 Link: https://onlinecourses.nptel.ac.in/e-learning/preview/noc26_ch74 Syllabus Week 1: Introduction to Novel Drug Delivery Systems • Fundamentals of Drug Delivery Systems-I • Fundamentals of Drug Delivery Systems-II • Polymers used in Drug Delivery Systems • Selection of p…
Pharmacotherapeutics Learn Free: https://onlinecourses.nptel.ac.in/e-learning/preview/noc26_ch55 Start Date 20th July 2026 For GPAT 2027 Aspirants Syllabus Week 1: Introduction to Pharmacotherapeutics & Cardiovascular Disorders (Part A) 1. Basics of Pharmacotherapeutics 2. Hypertension and its Pathophysiology 3. Therapeutic Management of Hypertension 4. Pathophysiology & Cardinal Features of Congestive Heart Failure…
Pharmaceutical Dosage Forms Learn Free: https://onlinecourses.nptel.ac.in/e-learning/preview/noc26_ch79 Start Date: 20 Jul 2026 Useful for GPAT Aspirants 2027 Lecture 1: Introduction to Course and Course Plan Lecture 2: Fundamentals of pharmaceutical processes- Unit operations- milling Lecture 3: Fundamentals of pharmaceutical processes- Unit operations- mixing Lecture 4: Fundamentals of pharmaceutical processes- Uni…
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Swayam / NPTEL Courses [July- Dec 2026] ll LC ID 3427 Free to learn Certification fees: Open 1000 Rs ll SC/ST 500 Rs. Pharmacy specific courses Human Physiology ll Start date: 20 Jul 2026 ll Duration 12 Wk Link: https://onlinecourses.nptel.ac.in/noc26_bt79/preview Pharmacognosy and Phytochemistry ll Start date: 20 Jul 2026 ll Duration 12 Wk Link: https://onlinecourses.nptel.ac.in/e-learning/preview/noc26_ch75 Ph…
Free Swayam Certification Courses NIeCer 105: Basic Course in Vector-Borne Diseases for Health Professionals https://onlinecourses.swayam2.ac.in/aic24_ge39/preview Indian Traditional Medicinal and Aromatic Plants https://onlinecourses.swayam2.ac.in/aic23_ge18/preview NIeCer 102: Ethics Review of Health Research https://onlinecourses.swayam2.ac.in/aic22_ge22/preview NIeCer 103: Scientific Writing in Health Researc…
📢 Appeal to All Students, Learners, and Jobseekers ! Join the PharmaExcel Forum—a growing community dedicated to pharmacy education, career guidance, and opportunities. 🔗 Stay updated, learn smarter, and grow together by joining here: https://whatsapp.com/channel/0029Vap8RXT4tRrsqSkX3r3z 👉 Don’t keep it to yourself—invite your friends and peers to benefit from this platform! Let’s build a stronger pharma communit…
"The future belongs to those who believe in the beauty of their dreams." — Eleanor Roosevelt
Showing the 12 most recent of 22 posts we hold for @PharmaExcel. 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 — 74,430 of 1,603,376entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
@MPSCPolity · 65,040
Telegram ranks this channel #63 of 70 here — alongside 69 others — read 21 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“Pharma GPAT Videos” (@PharmaExcel), 8,996 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/PharmaExcel.
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.