Research answer
What AppTrendKit can say about CD4 Hunter today
CD4 Hunter 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
- 1.1
- Released
- Jun 1, 2017
- Last updated
- Sep 8, 2017
- Content rating
- 12+
- Default storefront
- US
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
Search. Attach. Invade. Multiply. Repeat. That’s your goal as an HIV virion, a CD4 Hunter™. How many target cells can you infect before you run out of time? Stay tuned for more games about other microbes that threaten our health. Follow us on Twitter: @Drexel_IMMID, #IMMID, #CD4Hunter Visit our website: www.drexelmed.edu/immid Game Features: CD4 Hunter is a fast-paced, educational mini-game in which players take on the role of a human immunodeficiency virus type 1 (HIV-1) virion. By immersing real science within simple game play, users learn about the first step of HIV-1’s fascinating and complex replication cycle: binding and attachment. CD4 Hunter invites players to enter the bloodstream and grow their viral population by infecting specific target cells, while evading the immune system. Download CD4 Hunter for free to: • Learn complex science through fast-paced and addictive game play; • Hunt for target cells in the human bloodstream; • Control and grow your viral population; and • Face antibody attacks as the immune system fights infection. Learning Goals: CD4 Hunter is the first in a series of mini-games to be developed by the Institute for Molecular Medicine and Infectious Disease at Drexel University College of Medicine, to introduce players to the dynamic world of infectious disease. CD4 Hunter was designed to supplement learning about the multi-stage process of the HIV-1 replication cycle, through interactive gameplay. This app is intended for use in biomedical science curriculum in higher education. Users apply knowledge about the biological processes involved during HIV-1 replication to advance in the game. CD4 Hunter focuses on meeting the following learning objectives: 1. Identify gp120 as a basic element of HIV-1 structure and apply knowledge about its function in the process of viral binding and entry. 2. Identify CD4+ T cells as targets for HIV-1 infection in humans and apply knowledge about their role in viral pathogenesis. 3. Identify and match the molecules on the surface of HIV-1 (i.e., gp120) and T cells (i.e., CD4+ receptor, and CCR5 and CXCR4 co-receptors) involved in viral binding and entry. 4. Apply concepts of viral tropism and immune evasion mechanisms to complete the HIV-1 infection cycle in CD4+ T cells. Credits: Executive Producer and Consultant Brian Wigdahl, PhD Chair, Department of Microbiology and Immunology (M&I); and Executive Director, Institute for Molecular Medicine and Infectious Disease (IMMID), Drexel University College of Medicine Subject Matter Expert and Project Supervisor Sandra Urdaneta-Hartmann, MD, PhD, MBA Assistant Professor of M&I; and Director, the Center for Business and Program Development at IMMID, Drexel University College of Medicine Game Designer Carla Louise Brown, PhD Postdoctoral Fellow, Department of M&I and IMMID, Drexel College of Medicine Programmer and Artist Vincent Mills Co-op student at M&I and IMMID, Game Art and Production Program, Drexel University College of Media Arts and Design (Class of 2018) Animator and Artist Andrew Dean Bishop Co-op student at M&I and IMMID, Animation and Visual Effects, Drexel University College of Media Arts and Design (Class of 2018) SPECIAL THANKS TO: Subject Matter Experts Fred Krebs, PhD; William Dampier, PhD; Michael Nonnemacher, PhD; Vanessa Pirrone, PhD; Michael Wagner, PhD; and Mary Ann Comunale. Beta Testers Microbiology and Immunology Department graduate students Drexel University Entrepreneurial Game Studio *** Please help us improve this game by reporting any bugs to IMMID@Drexelmed.edu. We welcome feedback and suggestions for upgrades and improvements. *** ©2017 Drexel University
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:57 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, 10:57 PM.
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