زیسلند: مرجع تخصصی زیست و پزشکی pinned «https://ggplot.ir/g/1287/ بیوانفورماتیک و هوش مصنوعی در طراحی دارو: راهنمای جامع ابزارها، نرمافزارها و پایپلاینهای کشف دارو»

Channel
زیسلند: مرجع تخصصی زیست و پزشکی
@zislandir
On this record: Growth · Engagement · Reactions · Posts · Citations · Declared links · Cite this entry
136subscribers
-3 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001959679830 |
|---|---|
| Type | Channel |
| Username | @zislandir |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/zislandir |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 09:46 | 136 | -3 |
| 8 Aug 2026, 22:46 | 139 | no change |
| 8 Aug 2026, 06:48 | 139 | first reading |
Engagement
20 posts held, back to 25 October 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 pageof 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 20 posts for this entry, the most recent from 11 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 75.0% | |
| 👍 | 1 | 25.0% |
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 3 of the 20 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 25 October 2025 to 11 June 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
https://ggplot.ir/g/1287/ بیوانفورماتیک و هوش مصنوعی در طراحی دارو: راهنمای جامع ابزارها، نرمافزارها و پایپلاینهای کشف دارو
زیسلند: مرجع تخصصی زیست و پزشکی pinned «کتاب کاونیگ ژن براون - رایگان 👇 https://abhm.ir/XrIwRt»
کتاب کاونیگ ژن براون - رایگان 👇 https://abhm.ir/XrIwRt
❤1
مورخ ۲۶ و ۲۷و ۲۸ بهمن ماه ۱۴۰۴
زیسلند: مرجع تخصصی زیست و پزشکی pinned Deleted message
A short-lived kinase state that's essential for normal cell migration and T-cell function https://phys.org/news/2025-12-short-kinase-state-essential-cell.html
Scikit-bio: Python for Omics - by Stephen Turner https://blog.stephenturner.us/p/scikit-bio-python-for-omics
Building a Training Architecture for Self-Improving AI Agents | by Fareed Khan | Nov, 2025 | Level Up Coding https://levelup.gitconnected.com/building-a-training-architecture-for-self-improving-ai-agents-c87a4e316b22
A Beginner’s Guide to Automation with n8n https://www.freecodecamp.org/news/a-beginners-guide-to-automation-with-n8n/
Sent with Xodo
گوگل در همکاری با دانشگاه ییل از مدل جدیدی به نام Cell2Sentence-Scale 27B (C2S-Scale) رونمایی کرده؛ مدلی با ۲۷ میلیارد پارامتر که برای درک «زبان سلولها» طراحی شده. این مدل بر پایهی خانواده مدلهای باز Gemma ساخته شده و مرز جدیدی در تحلیل سلولهای منفرد به شمار میره. اهمیت این دستاورد زمانی دوچندان میشه که C2S-Scale تونسته یک فرضیهی جدید درباره رفتار سلولهای سرطانی مطرح کنه که بعدتر با آزمایش روی سلولهای زنده ه…
👍1
Showing the 12 most recent of 20 posts we hold for @zislandir. 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 — 959,712 of 1,480,975entries 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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association— we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
https://maktabkhooneh.org/teacher/%d8%ad%d8%b3%db%8c%d9%86-%d9%86%d9%88%d8%b1%d8%a7%d9%84%d9%84%d9%87%db%8c/
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 August 2026 — this entry's latest reading, not the date you are reading this.
“زیسلند: مرجع تخصصی زیست و پزشکی” (@zislandir), 136 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/zislandir.
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.