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What is ScholarIQ?

ScholarIQ is an innovative online research assistant powered by AI, aimed at simplifying the exploration and examination of scientific literature. It enables researchers to pose inquiries, retrieve documents from a variety of databases like OpenAlex, ORCID, and PubMed, and even import their own search results and source materials. The platform assesses articles according to defined review standards, boosts citation-based exploration through snowballing methods, and supports users in efficiently sifting through records, emphasizing relevant excerpts, and extracting needed information from uploaded files. In addition, it offers responses and suggested values that correspond to their respective citations, ensuring that reviewers retain control over decisions related to inclusion, bias assessments, and final conclusions. ScholarIQ diligently records the identities of reviewers, the justifications for their decisions, and pertinent excerpts to guarantee transparency and accountability within the review process. The tool also includes a public research metadata atlas that links various papers, researchers, journals, institutions, and topics, thereby promoting a more integrated research landscape. This comprehensive platform serves as an essential resource for both independent researchers and review teams engaged in extensive literature searches, evidence screening, and the implementation of systematic reviews, ultimately streamlining the research journey and enhancing its reliability and effectiveness. By improving collaboration and resource sharing, ScholarIQ plays a crucial role in advancing research endeavors across various scientific disciplines.

What is Rayyan?

Rayyan serves as an innovative research collaboration platform that utilizes artificial intelligence to streamline the process of conducting systematic and literature reviews. By harnessing the power of AI, machine learning, and natural language processing, Rayyan enables research teams to significantly reduce the time required to complete their reviews by understanding language subtleties, learning from user interactions, and providing intelligent assistance throughout the review journey. Researchers can effectively manage their reviews with Rayyan’s AI-enhanced workbench and time-saving features, ensuring the efficient extraction and synthesis of critical information. Moreover, the platform offers a mobile application, allowing users to work collaboratively on reviews from virtually anywhere, even in offline mode, thus turning spare time into productive research sessions. Rayyan also simplifies the importation of references from various sources and includes advanced functionalities such as duplicate detection, relevance ranking, and PICO highlighting, making it an essential resource for researchers aiming to fine-tune their workflows. Additionally, its user-friendly design facilitates easy navigation, ensuring that even those unfamiliar with systematic reviews can quickly learn to leverage the platform's extensive capabilities. This accessibility fosters a more inclusive research environment, encouraging broader participation in evidence synthesis efforts.

Media

Media

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

EBSCO
EndNote
Google Scholar
Mendeley
Prisma
PubMed
Zotero

API Availability

Has API

API Availability

Pricing Information

$29/month
Free Trial Offered?

Pricing Information

$8.33 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Mac

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

ScholarIQ

Date Founded

2002

Company Location

United States

Company Website

scholariq.org

Company Facts

Organization Name

Rayyan

Date Founded

2020

Company Location

United States

Company Website

www.rayyan.ai/

Categories and Features

AI Research Tools

Not specified

Categories and Features

Academic Research

Not specified

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