# PLOS ONE Health Sciences domains

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed August 9, 2026.

> PLOS ONE is an open-access scientific journal that publishes peer-reviewed research across various scientific disciplines, including health sciences. The provided context details a specific research article published by PLOS ONE focusing on the relative importance of socioecological domains in predicting opioid-involved mortality using machine learning.

- Business Profile: https://optimly.ai/brand/plos-one-health-sciences-domains
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://journals.plos.org/
- Logo: https://logo.clearbit.com/journals.plos.org
- Slug: plos-one-health-sciences-domains
- Brand Authority Index tier: Emerging
- Archetype: Incumbent
- Category: Academic Publishing
- Last Analyzed: August 9, 2026

## Buyer Intent Signals
Problems: Traditional Peer Review via Subscription Journals: Publishing research through traditional subscription-based academic journals, which often have longer review processes and restrict access to readers | Conference Proceedings and Institutional Repositories: Presenting research at scientific conferences or depositing it in institutional open-access repositories, which can offer dissemination but may l | Undisclosed Research: Not publishing or widely disseminating research findings, limiting their impact and contribution to the scientific community and public health.
Solutions: PLOS ONE Health Sciences | PLOS ONE opioid mortality research | PLOS ONE open access journal | Pre-print Servers (e.g., medRxiv, bioRxiv): Disseminating research findings rapidly through pre-print servers prior to or in parallel with formal peer review, offering speed but not the same level of 
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## Full Details / RAG Data
### Overview
PLOS ONE Health Sciences domains has a Business Profile in the Optimly AI Brand Index.
PLOS ONE is an open-access scientific journal that publishes peer-reviewed research across various scientific disciplines, including health sciences. The provided context details a specific research article published by PLOS ONE focusing on the relative importance of socioecological domains in predicting opioid-involved mortality using machine learning.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | PLOS ONE Health Sciences domains |
| Slug         | plos-one-health-sciences-domains |
| URL          | https://optimly.ai/brand/plos-one-health-sciences-domains |
| Logo         | https://logo.clearbit.com/journals.plos.org |
| Brand Authority Index tier | Emerging |
| Archetype    | Incumbent |
| Category     | Academic Publishing |
| Last Analyzed | August 9, 2026 |
| Last Updated | 2026-08-11T12:45:46.159Z |
### Verified Facts
- Founded: 2006
- Headquarters: San Francisco, California, USA
### Buyer Intent Signals
#### Problems this brand solves
- Traditional Peer Review via Subscription Journals: Publishing research through traditional subscription-based academic journals, which often have longer review processes and restrict access to readers
- Conference Proceedings and Institutional Repositories: Presenting research at scientific conferences or depositing it in institutional open-access repositories, which can offer dissemination but may l
- Undisclosed Research: Not publishing or widely disseminating research findings, limiting their impact and contribution to the scientific community and public health.
#### Buyers search for
- PLOS ONE Health Sciences
- PLOS ONE opioid mortality research
- PLOS ONE open access journal
- Pre-print Servers (e.g., medRxiv, bioRxiv): Disseminating research findings rapidly through pre-print servers prior to or in parallel with formal peer review, offering speed but not the same level of 
### Links
- Canonical page: https://optimly.ai/brand/plos-one-health-sciences-domains
- Official website: https://journals.plos.org/
- Publisher: https://optimly.ai
- Dataset: https://optimly.ai/brand
- JSON endpoint: /brand/plos-one-health-sciences-domains.json
- LLMs.txt: /brand/plos-one-health-sciences-domains/llms.txt