DistillerSR Description
Automate every stage in your systematic literature review to produce evidence-based research more quickly and accurately. DistillerSR automates literature collection, triage and assessment with AI and intelligent workflows. DistillerSR makes managing any project, no matter how large or small, easier. It can also be configured to produce transparent, audit-ready, and compliant literature reviews. DistillerSR integrates with data providers such as PubMed, automatic reviews updates, and AI-powered duplicative detection and removal. This makes it easier to search more efficiently. Automatically import new published references, keeping literature reviews current. You can detect duplicate citations and remove them, preventing bias and skew caused by studies that were included more than once. DistillerSR can reduce your screening burden by 60% DistillerSR makes it easier to get started on the later stages of your review faster and more accurately.
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CiteDash
CiteDash is an innovative research and writing platform powered by artificial intelligence, aimed at enhancing the academic workflow by integrating source discovery, analysis, drafting, and citation functionalities into a cohesive system. Users can simply input a research topic, essay prompt, or inquiry, prompting a sophisticated multi-agent pipeline to automatically explore various academic databases like Semantic Scholar, PubMed, and OpenAlex to identify, assess, and synthesize pertinent literature into a well-organized draft complete with inline citations. By focusing on accuracy and reliability, CiteDash ensures that every assertion is backed by verifiable academic sources, effectively eliminating fabricated references and guaranteeing that outputs can be traced back to authentic studies. The platform accommodates an extensive variety of academic tasks, such as writing essays, developing research papers, conducting literature reviews, and preparing for exams, while providing useful features like AI-generated notes, organized outlines, and question generation for active recall, all aimed at enhancing the learning experience. Furthermore, this comprehensive approach not only saves time but also elevates the quality of academic work by facilitating a deeper understanding of the subject matter.
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ScholarIQ
ScholarIQ is an online AI-powered research assistant designed to facilitate the search and analysis of scientific literature. It allows researchers to ask questions, access records from databases such as OpenAlex, ORCID, and PubMed, or even upload their own search results and source documents. The platform evaluates articles based on specific review criteria, enhances citation-based discovery through snowballing techniques, and aids users in efficiently screening records, highlighting pertinent excerpts, and extracting desired information from uploaded materials. Furthermore, it provides answers and suggested values that are linked to their respective citations, ensuring that reviewers maintain authority over decisions regarding inclusion, risk-of-bias assessments, and overall conclusions. ScholarIQ meticulously documents reviewer identities, rationale for decisions, and relevant excerpts to ensure that the review process is transparent and accountable. Additionally, it features a public research metadata atlas that connects various papers, researchers, journals, institutions, and topics, thereby fostering a more interconnected research environment. This platform is invaluable for both individual researchers and review teams engaged in thorough literature searches, evidence screening, and the execution of systematic reviews, making the research process more efficient and reliable.
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Pricing
Pricing Starts At:
$215 per user per month
Company Details
Company:
DistillerSR Inc.
Year Founded:
2008
Headquarters:
Canada
Website:
www.distillersr.com
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Customer Support
Business Hours
Live Rep (24/7)
Online Support
DistillerSR Features and Options
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