What is ONCiências's rating?

ONCiências is rated 3.4 stars across 541 ratings on the Play Store.

Who makes ONCiências?

ONCiências is published by MOBTEX SOFTWARES, launched on Jan 13, 2021.

Where does ONCiências rank in its category?

ONCiências ranks #27570 of 120891 apps in Education, putting it in the top 22.8% by revenue.

How much does ONCiências earn?

Q: How much does ONCiências earn?

ONCiências earns approximately 257 per month based on bumetric's ML revenue forecast, calibrated against 120891 comparable Android apps in Education.

Android app from MOBTEX SOFTWARES · Education

ML forecast ★ 3.4 · 541 Free

~257/mo

ML revenue forecast. Calibrated against 120891 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 1.61× more than the category median (159/mo).
Ranks #27,570 of 120,891 in Education (top 22.8% by revenue).
Launched Jan 13, 2021 · last updated Nov 05, 2025.

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

ONCiências's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where ONCiências sits in Education

Revenue distribution of 120891 comparable apps. ONCiências highlighted.

ONCiências vs comparable apps

Revenue trajectory side-by-side. Bold = ONCiências, ghosted = peers.

App spec

Version

1.1

Last update

Nov 05, 2025

Launched

Jan 13, 2021

Price

Free

Monetization

Free

What ONCiências actually does (from store listing)

feedback reader Access for schools and representatives Student Registration ONLINE exam Program content regulation

Comparable Android apps

The five apps in Education with the closest revenue to ONCiências. Click any to see its detail page.

App	Revenue	Rating	Ratings
地理3300問	257	—	0
កំណែជីវវិទ្យា ថ្នាក់ទី៨	257	—	0
eMedQue- MBBS University QBank	257	—	0
English Verbs - Offline	257	★ 3.4	197
Tutelage Academy	257	—	0

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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on ONCiências's tracker page for current rating, reviews and snapshot timeline.

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