LIVE INDEX·21,962 channels
15:44 UTC
Rank#6152 in indexNo safety flags

Занудная педиатрия — Роман Шиян

Join Channel →t.me/drshnr
Composite score
26.3/100

Cohort-normalised vs 0 channels.

Subscribers
37.4K
7d growth
-9
30d growth
-11
Last post
Tracked since
Jul 2026
Our read

What is Занудная педиатрия — Роман Шиян?

Занудная педиатрия — Роман Шиян is a Telegram channel. The channel has 37.4K subscribers.

Score inputs · v3.2 · 5 componentsMETHODOLOGY →

What goes into the 26.3

×2.0Size
37.4K subs
×1.0Activity
×1.5Growth
-9 (7d)
×0.5Trust
Clear
×1.0Category fit
bars show each component's weight; values are this channel's inputsweighted, then scored out of 100
Activity · last 30 days

Channel activity.

Activity data not yet enriched. MTProto sync runs every ~20 min.

Subscriber growth · 11 days tracked

Subscriber growth · last 90 days

Subscribers now
37.4K
7-day change
-9
-0.0%
30-day change
-11
-0.0%
Period peak
37.4K
22 Jul 2026
Days tracked
11
since 12 Jul 2026
Trend
→ Flat
over the period: -0.0%source: channel_history · daily

Frequently asked questions.

What is Занудная педиатрия — Роман Шиян?

Занудная педиатрия — Роман Шиян is a Telegram channel. The channel has 37.4K subscribers.

How many subscribers does Занудная педиатрия — Роман Шиян have?

Занудная педиатрия — Роман Шиян has 37.4K subscribers. It has lost 11 subscribers in the last 30 days.

Is Занудная педиатрия — Роман Шиян legit?

Занудная педиатрия — Роман Шиян carries no safety flags in our index, though it is not verified by Telegram. Treat unsolicited financial advice with caution.

How do I join Занудная педиатрия — Роман Шиян?

Open t.me/drshnr in the Telegram app, or use the Join Channel button on this page. Telegram Rankings is an independent index and is not affiliated with Занудная педиатрия — Роман Шиян.

Data provenance
Last synced
13h ago
Methodology
v3.2
Sync cadence
~20 min
Days tracked
11

Sources: Telegram MTProto (channel metadata, posts) · channel_history (daily subscriber snapshots). Composite score recomputed each sync against the index cohort.