| Criteria/Tool | Covidence | Consensus | Elicit | Perplexity | Research Rabbit | Scholarcy |
|---|---|---|---|---|---|---|
| Purpose | A web-based tool designed for streamlining systematic reviews, helping researchers manage and analyze large volumes of research papers. | Academic search engine, powered by AI. | Tool designed to help researchers and analysts systematically explore complex questions and gather insights. | Using LLMs, Perplexity is a search engine that provides AI-generated answers, including citations which are linked above the summaries. | Research discovery tool that helps users find and visualize related papers. | AI-powered tool that summarizes research papers, extracting key information and references. |
| Key Features | • Study screening • Data extraction • Collaboration |
• Summarizes papers • Consensus Meter shows agreemnent vs disagreement within research on a given topic •Includes citations for all the papers referenced within Semantic Scholar |
• Research question exploration • Data collection • Synthesis • Interactive templates •Searches academic papers from Semantic Scholar |
•Provides research, retreival and summarization •Context-aware citation tool clarifies impact and relevance of sources •Research mode offers in-depth research and analysis |
• Visual citation mapping • Automatic paper recommendations • Collaboration tools •Searches PubMed and Sematic Scholar |
• Extracts key points • Generates bibliographies • Finds references |
| Cost | Subscription, free from TTUHSC | Free with premium options | Free with premium options | Free with premium options | Free with premium options | Free trial available, then paid access |
| Cautions/Uses | Streamlines systematic review workflows (screening, data extraction, quality assessment), integrates with reference managers, incorporates active machine learning. | Users should check the cited papers to ensure the summaries are accurate. Additionally, results are limited to academic papers in Semantic Scholar. | Some limitations in citation accuracy; requires manual input for complex questions. | Users should be mindful of data hallucinations, as these can lead to inaccuracies or misleading information. | Limited to academic papers; may not always capture the most recent publications. | Dependent on the quality of the input paper; may not capture nuanced concepts. |
| More info/Underlying Data | Using ML, RCT Classifier tags RCTs. Using LLM, Analyses patterns in screening. | Uses OpenAI and it's own LLM. | Uses LLM's. | Free version uses OpenAI GPT-3.5. Pro version uses GPT-4 and Claude 3. | Uses ML and Microsoft Academic Graph data for citation mapping. | Scholarcy uses “Extractive AI”: AI models, trained to find specific sequences of verbs and nouns within academic text that contain the most useful information in any article. |
| Link | https://ttuhsc.libguides.com | https://consensus.app/ | https://elicit.com/welcome | https://www.perplexity.ai/ | https://www.researchrabbit.ai/ | https://www.scholarcy.com/ |
