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Channel

سیناجو | پلتفرم کاریابی صنعت سلامت

@sinajoo_ind

On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

1,081subscribers

+6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002451122429
TypeChannel
Username@sinajoo_ind
Created21 November 2024measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/sinajoo_ind

Growth

1,0751,0811,0786 August 2026 — 1,075 subscribers7 August 2026 — 1,075 subscribers14 August 2026 — 1,081 subscribers6 August 202614 August 2026
3 measurements spanning 7 days, net +6. 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 1,074–1,082 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 00:341,081+6
7 Aug 2026, 12:341,075no change
6 Aug 2026, 19:451,075first reading

Engagement

14 posts held, back to 21 November 2024the 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.

ERR · 30 days
27.7%
avg views ÷ 1,081 subscribers
Avg views / post
299
1 post measured
Reaction rate
2.01%
reactions ÷ views · ER floor
Posts in window
1
of 14 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 July 2026
Posts held14 (21 November 202416 July 2026)
Views total299
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:45 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.

Reaction mix

31 reactions across 10 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
31100.0%

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 10 of the 14 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 31reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 21 November 2024 to 16 July 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

16 Jul 2026, 19:34 UTC299 views6 reactionsread 6 August 2026
Photo

✳️حضور سیناجو در چهاردهمین همایش و نمایشگاه ایران ساپلکس؛ رویدادی که هر ساله در حوزه مکمل‌های غذایی، رژیمی و ورزشی با هدف ارتقای آگاهی، ترویج مصرف صحیح مکمل‌ها و ایجاد ارتباط مؤثر میان فعالان این صنعت برگزار می‌شود. 🫆حضور در این رویداد فرصت مناسبی برای دانشجویان و علاقه‌مندان حوزه سلامت بود تا از نزدیک با فعالان صنعت، فرصت‌های شغلی و مسیرهای رشد حرفه‌ای در این حوزه آشنا شوند. ⭕️در سیناجو باور داریم که ارتباط مؤثر میا

6

11 Jul 2026, 17:09 UTC521 views1 reactionsread 6 August 2026
Photo

پیش ثبت نام نمایشگاه کار سلامت شروع شد این بار در ایران ساپلکس با ساخت و تکمیل حساب کاربری و اپلود رزومه شانس خودتون برای دیده شدن بیشتر کنید بدون فیلتر شکن سایت بازکنید https://sinajoo.com/exhibition #ایران_ساپلکس #مکمل_های_غذایی #داروسازی #تغذیه #سلامت #وبینار https://t.me/sinajoo_ind

1

11 Jul 2026, 16:11 UTC452 views3 reactionsread 6 August 2026
Photo

🚀 فکر می‌کنی آینده صنعت مکمل‌های غذایی متعلق به چه کسانی است؟ صنعت مکمل‌های غذایی دیگر فقط چند قفسه در داروخانه نیست؛ این حوزه امروز یکی از سریع‌ترین صنایع در حال رشد جهان است و فرصت‌های بی‌نظیری در پژوهش، کارآفرینی، تولید و بازار سلامت ایجاد کرده است. 🎯 اگر دانشجو یا علاقه‌مند به علوم سلامت هستی و دوست داری: 🔹 با آینده صنعت مکمل‌ها آشنا شوی؛ 🔹 از تجربه اساتید برجسته این حوزه استفاده کنی؛ 🔹 دیدگاهت را نسبت به فرصت‌

3

16 Jun 2026, 15:30 UTC≈1,950 views2 reactionsread 6 August 2026

🔥پلتفرم سیناجو برگزار کرد 📌 رگولاتوری؛ دروازه ورود به صنعت 💻 وبینار ضبط شده تخصصی بررسی چالش‌های تدوین DMF فرآورده‌های طبیعی 👤 مدرس وبینار: دکتر آویشن فرزانه (کارشناس اداره کل فرآورده‌های طبیعی، سنتی و مکمل سازمان غذا و دارو) 🎯 سرفصل‌های کلیدی وبینار: 🔹 بررسی مفاهیم و الزامات DMF فرآورده‌های طبیعی 🔹 چالش‌های متداول و خطاهای رایج در تدوین DMF 🔹 تبیین آخرین ضوابط و دستورالعمل‌های سازمان غذا و دارو در تهیه و تنظیم D

2

14 Jun 2026, 07:06 UTC676 views2 reactionsread 6 August 2026

https://forms.gle/NEHjMdezRH6wuKgj8 جهت بهره‌وری حداکثری از وبینار بررسی ضوابط سازمان غذا و دارو و نقشه راه تدوین DMF، این فضا برای دریافت سوالات شما اختصاص یافته است. لطفا پیش از برگزاری برنامه ، سوالات و چالش‌های خود را در فرم بنویسید تا در جریان گفتگو به آن‌ها پاسخ داده شود.»

2

13 Jun 2026, 12:17 UTC≈4,200 views2 reactionsread 6 August 2026
Photo

🔥پلتفرم سیناجو برگزار می کند : 📌 رگولاتوری؛ دروازه ورود به صنعت 💻 وبینار تخصصی بررسی چالش‌های تدوین DMF فرآورده‌های طبیعی 👤 مدرس وبینار: دکتر آویشن فرزانه (کارشناس اداره کل فرآورده‌های طبیعی، سنتی و مکمل سازمان غذا و دارو) 🎯 سرفصل‌های کلیدی وبینار: 🔹 بررسی مفاهیم و الزامات DMF فرآورده‌های طبیعی 🔹 چالش‌های متداول و خطاهای رایج در تدوین DMF 🔹 تبیین آخرین ضوابط و دستورالعمل‌های سازمان غذا و دارو در تهیه و تنظیم DMF

2

11 Jun 2026, 14:21 UTC≈2,030 views1 reactionsread 6 August 2026
Photo

لینکدین سیناجو شروع به فعالیت کرد اولین فرصت های شغلی و کارآموزی به همراه یک سری آموزش های تخصصی لینکدین برای پیدا کردن فرصت های شغلی تو این پیج ما قرار میگردد فرصت از دست ندید #Sinajoo #صنعت_سلامت #کاریابی #منتورینگ #هوش_مصنوعی https://t.me/sinajoo_ind

1

31 May 2026, 16:44 UTC≈2,610 views2 reactionsread 6 August 2026
Poll

دوست دارید با کدام نوع از صنایع سلامت بیشتر آشنا بشید؟

  1. صنعت داروهای شیمیایی34%
  2. صنعت داروهای بیولوژیک37%
  3. صنعت مکمل های رژیمی غذایی29%
  4. صنعت آرایشی بهداشتی47%
  5. صنعت پخش دارو و مکمل33%
  6. صنعت تجهیزات پزشکی12%
  7. صنعت فرآورده های طبیعی و طب سنتی15%

The shares total 207%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

2

30 May 2026, 18:23 UTC875 views5 reactionsread 6 August 2026
Photo

جلسه آشنایی با پلتفرم Sinajoo یکشنبه ۳ خرداد برگزار شد 🔍 ⭕️در این جلسه درباره چالش‌های ارتباط میان دانشگاه، استعدادهای جوان و صنایع سلامت صحبت کردیم و سیناجو را به‌عنوان راهکاری برای ایجاد این ارتباط معرفی کردیم. همچنین درباره محورهای اصلی فعالیت این پلتفرم گفتگو شد: • کاریابی و فرصت‌های شغلی • آموزش‌های عمومی و تخصصی • منتورینگ و کوچینگ شخصی و گروهی • شبکه‌سازی و گروه‌های حرفه‌ای • ابزارهای هوش مصنوعی در مسیر توسع

5

Showing the 12 most recent of 14 posts we hold for @sinajoo_ind. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

31 May 2026, 16:44 UTCAnonymous Poll329 voters

دوست دارید با کدام نوع از صنایع سلامت بیشتر آشنا بشید؟

  1. صنعت داروهای شیمیایی34%
  2. صنعت داروهای بیولوژیک37%
  3. صنعت مکمل های رژیمی غذایی29%
  4. صنعت آرایشی بهداشتی47%
  5. صنعت پخش دارو و مکمل33%
  6. صنعت تجهیزات پزشکی12%
  7. صنعت فرآورده های طبیعی و طب سنتی15%

The shares total 207%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 14 most recent posts we hold, published 21 November 2024 to 16 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 128,761 of 1,336,469entries 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 9 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“سیناجو | پلتفرم کاریابی صنعت سلامت” (@sinajoo_ind), 1,081 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/sinajoo_ind.

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.