Research answer
What AppTrendKit can say about AO/OTA Fracture Classification today
AO/OTA Fracture Classification has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 2.4.2
- Released
- Jun 9, 2012
- Last updated
- Jun 26, 2022
- Content rating
- 17+
- Default storefront
- UA
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
Tool for classifying fractures The 2018 AO/OTA Fracture and Dislocation Classification is a streamlined, concise, and clinically relevant tool for coding fractures and dislocations. It is the standard classification used by trauma surgeons and physicians dealing with skeletal trauma worldwide. The Classification was revised in 2018 and the new app was updated to reflect these changes. The app provides beginners and experts with a reference tool to: • Learn how to apply the classification system • Utilize common terminology when classifying fractures • Apply the principles of fracture classification • Provide standard codes for research purposes The content and design of the app makes the Classification simpler to use. The AO/OTA Classification app makes injury descriptions more reliable, thus improving research and fracture outcomes assessments. Features: • Information regarding radiological investigations used for classifying a specific fracture • Common pitfalls with imaging are addressed • All new fracture illustrations • High-quality, enlargeable x-rays are included • Fracture codes can be added to "Favorites" for personalized reference • The new "Search" function allows users to quickly access any fracture code • Principles of fracture classification
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 8:46 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 8:46 PM.
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Open methodology



