Channel
@scientificwriting
On this record: Growth · Engagement · Posts · Citations · Cite this entry
435subscribers
-2 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001019347136 |
|---|---|
| Type | Channel |
| Username | @scientificwriting |
| Created | Between 1 December 2015 and 31 March 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/scientificwriting |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 09:55 | 435 | -1 |
| 13 Aug 2026, 17:47 | 436 | -1 |
| 6 Aug 2026, 19:18 | 437 | no change |
| 5 Aug 2026, 18:00 | 437 | first reading |
20 posts held, back to 29 May 2022 — 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 20 posts for this entry, the most recent from 6 December 2025. An engagement rate over an empty window would be a number about nothing.
سیزدهمین کنگره سالیانه مرکز قلب تهران همراه با هشتمین سمپوزیوم مراقبتهای ویژه قلبی و نخستین سمپوزیوم دریچه قلب مرکز قلب تهران 🗓 ۸-۱۰ بهمن ۱۴۰۴ 📍 مرکز قلب تهران 🎓 دارای ۱۵ امتیاز بازآموزی 🔗 thccongress.com | ثبتنام: icme.ir
Signed A. Shafiee
🔰معاونت تحقیقات و فناوری دانشگاه علوم پزشکی تهران با همکاری مرکز پژوهشهای علمی و فناوری دانشجویان با افتخار برگزار میکند: 🔺بزرگداشت هفته پژوهش و فناوری 📝سین برنامههای گرامیداشت هفته پژوهش- دوشنبه ۲۴ آذر ۱۴۰۴ | دانشکده پزشکی دانشگاه علوم پزشکی تهران ✔️رویداد بینشانه| روایت تلاش بیوقفه برای ساختن ظرفیتهای آیندهساز ✔️اختتامیه رویداد بزرگ Tums Thesis ✔️نمایشگاه دستاوردهای پژوهشی ✔️اختتامیه رویداد روایت بیمار …
Signed Raeen
✅️ Clinical Epidemiology ❓️ How can we use an epidemiological approach in the clinic? ❓️ How much can you rely on test results while ignoring the clinical signs of disease? Case Example: A 45-year-old male with no significant medical history presented with sudden-onset chest pain. His doctor suspected a rare disease (prevalence: 0.01%) and ordered a new, high-quality test (Sensitivity = 90%, Specificity = 80%). …
Signed Raeen
Photo, posted without a caption
Signed Raeen
Key Components of Patient Care and Clinical Research ℹ️Patient Profile: 1️⃣Clinical Profile: Temporary, illness-related factors such as symptoms, signs, and diagnostic test results. 2️⃣Nonclinical Profile: Stable patient characteristics like age, gender, and socioeconomic status. These profiles are complementary and form the basis for clinical decision-making. ✏️Challenges in Clinical Practice (DEPTh Model): 1)Diagn…
Signed Amir.Kia.rMz
✍️Clinical epidemiology: 💡 It is a descriptive label that denotes the application of epidemiologic methods toquestions relevant to patient care ❓You may wonder what's the difference between epidemiology and clinical epidemiology? It is not a separate discipline but a label highlighting its applied use in clinical settings,As it said:clinical epidemiology is epidemiology ❗️CE(clinical epidemiology) plays a signifi…
Signed Amir.Kia.rMz
🔆 Clinical epidemiology deals with questions relevant to clinical practice: questions about 1) diagnosis 2) causes 3) prognosis 4) treatment of disease ✅️ Research should be : 1) relevant (deal with problems encountered in clinical practice) 2) valid ( the results are trueand, thus, not biased) 3) precise ( the results lie within a limited range of uncertainty) @scientificwriting
Signed Raeen
⭕️ Epidemiology is essentially occurrence research. ✅️ The object of epidemiologic research is to study the occurrence of illness and its relationship to determinants. 🔆 The origins of epidemiology lie in unraveling the causes of infectious disease epidemics and the emergence of public health as an empirical discipline. @scientificwriting
Signed Raeen
In 1854, many people in London got sick and died from cholera. ✳️ Dr. John Snow thought the sickness came from dirty water, not from bad air. ( Traditional opinion for cause of illness ) He made a map and saw that most sick people drank water from the Broad Street pump. He told people to take off the pump handle so no one could use the water. After that, fewer people got sick. This is his famous quote : In con…
Signed Raeen
How a Manuscript should look like!
Signed A. Shafiee
🔔 انجمن علمی دانشجویی ANS برگزار میکند 🔴 کارگاه "فوت و فن نوشتن کیس ریپورت" با تدریس دکتر اکبر شفیعی مدیر پژوهشکده بیماری های قلب و عروق دانشگاه علوم پزشکی تهران 📌تو این کارگاه یاد میگیریم که: ✅️کیس ریپورت چیه و با چه هدفی نوشته میشه؟ ✅️مقدمات اولیه ای که برای نوشتن یه کیس ریپورت خوب نیاز داریم چیاست؟ ✅️چجوری برای کیس ریپورت ایده پیدا کنیم؟ ✅ کیس ریپورتمون رو کجا چاپ کنیم؟ ❗️ظرفیت ثبت نام محدود 📆 تاریخ: پنج…
Signed A. Shafiee
🔔 انجمن علمی دانشجویی ANS برگزار میکند 🔴 وبینار "شرکت در کنفرانس های بین المللی" ⭕️" Participation in international conferences for medical students: Why, Where, How? " 📌قرار هست تا در این وبینار به موضوع اهمیتی که کنفرانس ها و به طور ویژه کنفرانس های بین المللی برای دانشجویان داره بپردازیم: ❓ما که دانشجو هستیم و فعلا پزشک نشدیم، کنفرانس به چه درد ما میخوره؟!!🤔 ❓چه امتیازات و فرصت هایی رو میتونه برای دانشجو فراهم …
Signed A. Shafiee
Showing the 12 most recent of 20 posts we hold for @scientificwriting. 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.
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.
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.
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.
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“VIP Scientific writing” (@scientificwriting), 435 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/scientificwriting.
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.