قناة #انا_صيدلي بطياتها اجمل وافضل الموضوعات والمعلومات في المجال الصيدلاني والمجال الطبي..
لكل صيدلاني يبحث عن المصداقية والدقة.
للتواصل معنا @abdulah77bot
او حسابي على السناب شات https://www.snapchat.com/add/abduulahgreat
#انا_صيدلي
Created
Between 1 February 2017 and 31 December 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 21 comparable posts for this entry, running 8 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 3, the earliest publisher we hold is @pharmaone1. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 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.
25 measurements spanning 91 days, net -172. 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 6,131–6,355 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 02:56
6,157
-7
2 Nov 2026, 06:26
6,164
-4
30 Oct 2026, 16:34
6,168
-6
27 Oct 2026, 18:10
6,174
-13
24 Oct 2026, 12:56
6,187
-8
21 Oct 2026, 20:46
6,195
-4
18 Oct 2026, 15:15
6,199
-5
15 Oct 2026, 07:34
6,204
-12
12 Oct 2026, 00:38
6,216
-9
5 Oct 2026, 11:37
6,225
-18
27 Sept 2026, 11:36
6,243
-6
18 Sept 2026, 12:16
6,249
-6
14 Sept 2026, 09:18
6,255
-10
10 Sept 2026, 18:37
6,265
-16
5 Sept 2026, 14:37
6,281
-10
1 Sept 2026, 05:26
6,291
-4
29 Aug 2026, 00:26
6,295
-8
25 Aug 2026, 19:14
6,303
-3
22 Aug 2026, 20:58
6,306
-7
19 Aug 2026, 10:13
6,313
first reading
Engagement
49 posts held, back to 8 July 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.23%
avg views ÷ 6,157 subscribers
Avg views / post
137
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 49 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
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
49 (8 July 2026 – 6 November 2026)
Views total
1,235
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 16:49 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
≈1,310
Videos
≈93
Links
≈2,830
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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 9 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).
💡نقص #فيتــــــامين B12
📌قد يؤثر في التركيز والحالة النفسية
📌قد يسبب ضعف العضلات.
📌قد يسبب التهاب اللسان.
📌قد يسبب تنميل الأطراف.
📌قد يسبب ضعف الذاكرة.
📌قد يسبب اضطراب التوازن.
📌 شحوب أو اصفرار البشرة (بسبب فقر الد.م المرتبط بالنقص).
📌 الإرهاق العام المستمر حتى مع النوم الكافي.
📌 تساقط الشعر أو تقصف الأظافر (كمؤشرات غير مباشرة على سوء التغذية وضعف الامتصاص).
#توعيه_دوائيه #خواطر_صيدلانيه
#الصيدلاني_شوقي_الحشيبـ…
#ســـــــــؤال
💢 ما هو الدواء الذي يمكن أن يسبب جفاف الفم؟
A) (Amoxicillin)
B) (Atropine)
C) (Metformin)
#الصيدلاني_شوقي_الحشيبـري
♨️👈علق بكلمة " تـــــم " ليصلك كــــل جديد من منشوراتنا
•┈┈•◈◉❒ 🅢🅗 ❒◉◈•┈┈•
{🍥}➪ تــابعـــو قنـــاتنــا
علــى التيــليــجــرام:
قنــــــاه
All medicine in yemen
https://t.me/alhoshebry774876531
📚 أطلس التدريب الصيدلاني – الجزء الأول | 2026
🎁 هدية علمية مجانية لكل طالب صيدلة وصيدلي
كتاب يضم الأصناف الدوائية المتوفرة في الصيدليات، مصنّفة حسب الأشكال الصيدلانية والتركيزات، ليساعد طلاب الصيدلة والخريجين والصيادلة على التعرّف على الأدوية والتدريب العملي عليها.
✍️ ثمرة سبع سنوات من الإعداد والتأليف، نقدّمها لوجه الله تعالى، سائلين الله أن يجعلها علمًا نافعًا وأجرًا ممتدًا.
🤝 ساهموا معنا في نشر المعرفة! شاركوا الك…
#خليهــا_ببـــالك🙄
✅محلول ال(Ringer lactate) يحدث إستقلاب للاكتيت في الكـ.ـبد ويتحول الى Bicarbonate
✅لذلك يستخدم فـي حـــالة الacidosis
🚫وممنوع إعطــاءه لمرضئ الكبد
#الصيدلاني_شوقي_الحشيبـري
♦️ تابعنا على تليجرام :
https://t.me/alhoshebry774876531
#خليهــا_ببـــالك🙄
✅ في حالة ال vomiting يفقد الانسان جزء من حمض HCL الموجود في المعدة فيؤدي إلى ال Metabolic Alkalosis
لذلك نستخدم normal saline لتعويضها
✅ اما في حالة ال diarrhea يفقد الانسان جزء من محلول NaHCO3 القاعدي الموجود في الأمعاء فيؤدي إلى ال Metabolic Acidosisلذلك نستخدم ال Ringer lactate.
#الصيدلاني_شوقي_الحشيبـري
♨️👈علق بكلمة " تـــــم " ليصلك كــــل جديد من منشوراتنا
•┈┈•◈◉❒ 🅢🅗 ❒◉◈•┈┈•
{🍥}➪ تــابع…
#تــــذكـــــــــر
⭕ في القلبβ1 على شان عندك قلب مش قلبين 🫀
⭕ في الرئتين β2 على شان عندك رئتين 🫁
⭕ في الأنسجة الدهنيةβ3 اللي تخزن الدهون الثلاثية
#الصيدلاني_شوقي_الحشيبـري
♦️ تابعنا على تليجرام :
https://t.me/alhoshebry774876531
🔹 عند معالجه السعال الرطب او البلغم بدواء ال(Acetylcystine) فوار (Effervescent tablets)
لازم نستخدمه بحذر عند مرضى (فشل القـ،ـلب وارتفاع ضغط الد،م وايضاً أمر،اض الكـ،ـلى).
✅ لإنه الأقراص الفواره من دواء ال(Acetylcystine) تحتوي على كميات عاليه من الصوديم(Sodium).
اما الذي بشكل حقن(Injections) او أقراص(Tablets) نستخدمه بشكل آمن عند هذه الأمراض.
✅Reference
✅Lexicomp
#الصيدلاني_شوقي_الحشيبـري
♦️ تابعنا على تليجرام …
#تــذكــــــــــر 🧠
{✅}➪ دواء Propranolol يقلل من رهــــاب وخـــوف المسرح
وَيستخدم قبل الأداء بساعة أو نصف ساعة .. !!
#لكـــن اذا صرفتة لمرض asthma او COPD.
صدقني مـــا راح يشوف المسرح ابدا ف انتبــــــه 😲
#الصيدلاني_شوقي_الحشيبـري
♦️ تابعنا على تليجرام :
https://t.me/alhoshebry774876531
#لاتنســــاهــا 🧠
✔️ في التهابات الجهاز التنفسي:
✅️ أصرف ال (Moxifloxacin) ❌️ وتجنب صرف ال (Ciprofloxacin).
✔️ في التهابات المسالك البوليه:
✅️ أصرف ال (Ciprofloxacin) ❌️ وتجنب صرف ال (Moxifloxacin).
#الصيدلاني_شوقي_الحشيبـري
♦️ تابعنا على تليجرام :
https://t.me/alhoshebry774876531
Signed الصيـدلانـي/ شوقي الحشيبري
Showing the 12 most recent of 49 posts we hold for @ipha20rmcy17. 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.
Posts recorded as deleted after publishing
We recorded 3 posts on @ipha20rmcy17 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
8 August 2026
Most recent seen missing
12 August 2026
Median time before seen missing
26 hours
Seen missing in the last 30 days
0
Polls
The 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
#ســــــــؤاااال 💊
"مضاد حيوي قوي، يعتبر السلاح الأخير ضد البكتيريا العنقودية المقاومة (MRSA)، لكنه يمتلك عدواً خفياً في الرئة؛ فإذا دخل إليها ليعالج التهابها الرئوي، فقد قوته تماماً بسبب سائل يفرزه الجسم (Surfactant). من هـــو؟"
1️⃣ دابتومايسين (Daptomycin)38%
2️⃣ فانكومايسين (Vancomycin)37%
3️⃣ لينيزوليد (Linezolid)25%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
#سؤال_على_السريع💊
💢مضاد حيوي يُمنع إعطاؤه للأطفال تحت سن 8 سنوات لأنه يترسب في العظام ويسبب تغيراً دائماً في لون الأسنان؟
1️⃣ دوكسيسايكلين (Doxycycline)78%
2️⃣ سيفوروكسيم (Cefuroxime)6%
3️⃣ كلاريثروميسين (Clarithromycin)17%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is 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 49 most recent posts we hold, published 8 July 2026 to 6 November 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.
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
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ipha20rmcy17 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@unionlist named in 4 posts, 8 August 2026 – 6 November 2026
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.
“انا صيدلي” (@ipha20rmcy17), 6,157 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/ipha20rmcy17.
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.