Screen Citations 10X Faster with Abstrackr
Abstrackr is a web-based tool that uses machine learning technologies to semi-automate screening at Title and Abstract. Users can upload or import citations from PubMed, Scopus, or any RIS/CSV file. Abstrackr automatically detects duplicates and organizes your references, select your screening mode (single, double, or pilot) and set inclusion/exclusion criteria tailored to your protocol. Add team members with appropriate roles while Abstrackr can automatically assigns citations based on your chosen screening mode. Additionally, users can review citations while Machine Learning learns from your decisions and ranks remaining abstracts by relevance, accelerating your workflow. For double screening, users can easily identify and resolve disagreements and track inter-rater reliability in real-time. Finally, users can download the screened citations in RIS or CSV format, ready for full-text review or PRISMA flow diagram creation.
