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Research Screener
What Research Screener is
Research Screener is web software that uses machine learning to help teams find relevant research during systematic reviews. It ranks abstracts so the most relevant appear first, then lets users upload potentially relevant records from a reference tool, flag items as relevant, and add individual notes. A team review area supports clarifying questions and differences during screening. Screening data and results can be exported, including EndNote XML. The service lists support for up to five collaborators and 30,000 abstracts per project, with one year to start a project. Its site says the algorithm has been validated on numerous systematic and scoping reviews and may save up to 96% of abstract-screening time. A free demo is available, but there is no free plan. Paid access is billed once per project: 250.00 AUD for 1 to 5 projects, 200.00 AUD for 6 to 10, and 150.00 AUD for 10 or more. Institutional licensing is available by contacting the maker.
Who it suits
Research Screener suits systematic-review teams that need machine-ranked abstracts, collaborative screening, notes, and exports. The listed project limits fit groups of up to five collaborators handling up to 30,000 abstracts.
What it does well
- Machine learning ranks relevant abstracts first
- Team review supports questions and differences
- Exports include EndNote XML
- Up to five collaborators per project
- Free demo available
What to know first
- No free plan
- Maximum 30,000 abstracts per project
- Maximum five collaborators per project
- Projects must start within one year
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| 40% discount | per project · 10+ projects · up to 5 collaborators per project · up to 30,000 abstracts per project · 1 year to start project | A$150, paid once |
| 20% discount | per project · 6 to 10 projects · up to 5 collaborators per project · up to 30,000 abstracts per project · 1 year to start project | A$200, paid once |
| Standard | per project · 1 to 5 projects · up to 5 collaborators per project · up to 30,000 abstracts per project · 1 year to start project | A$250, paid once |
As researchscreener.com lists them, read 9 Oct 2026. The maker's own page has the final word.
Verdict
Research Screener organizes abstract screening around machine ranking and team review, with export support for resulting data. Its per-project pricing and stated collaborator and abstract limits should be considered before purchase.
Facts from Research Screener's own pages
- Abstract ranking
- Machine learning presents the most relevant abstracts first. · researchscreener.com, 9 Oct 2026
- Demo
- The site offers a free demo. · researchscreener.com, 9 Oct 2026
- Exports
- Export options are provided for screening data and results. · researchscreener.com, 9 Oct 2026
- Institutional licensing
- Institutional licensing is available by contacting the maker. · researchscreener.com, 9 Oct 2026
- Limits
- The listed plans allow up to 5 collaborators and 30,000 abstracts per project, with 1 year to start a project. · researchscreener.com, 9 Oct 2026
- Project setup
- Users upload potentially relevant abstracts from a reference tool to start a project. · researchscreener.com, 9 Oct 2026
- Purpose
- Research Screener uses machine learning to help find relevant research faster during systematic reviews. · researchscreener.com, 9 Oct 2026
- Screening
- Users can flag abstracts as relevant and record individual notes. · researchscreener.com, 9 Oct 2026
- Support
- The site lists Dr. Leo Ng and Dr. Kevin Chai as contact people and provides [email protected]. · researchscreener.com, 9 Oct 2026
- Team review
- The platform lets teams clarify questions or differences during screening. · researchscreener.com, 9 Oct 2026
- Time savings
- The site says the product can save up to 96% of abstract screening time. · researchscreener.com, 9 Oct 2026
- Validation
- The site says its algorithm has been validated on numerous systematic and scoping reviews. · researchscreener.com, 9 Oct 2026
Where Research Screener stands on Freedom251
- AI Literature Review Software#35 of 38