Scite is a tool that assists researchers in discovering and understanding research articles through Smart Citations. These citations provide context by indicating whether the cited work offers supporting or contrasting evidence. Scite is highly valued by academics and students for its efficiency in placing scientific papers within the broader literature, thus enhancing the research process. Additionally, Scite is customizable, allowing users to control various settings such as search filters, response length, and reference management. It operates by utilizing a vast database of research articles and employs large language models to generate research-backed answers and relevant insights. Overall, Scite is recognized for its contribution to improving the reliability and efficiency of academic research.
Scite was created by Mark Mikkelsen, Ph.D. The company was launched on June 17, 2024. It is a Brooklyn-based organization focused on helping researchers better discover and understand research articles through Smart Citations. Scite provides citations that offer the context of the citation and describe whether the article provides supporting or contrasting evidence. The company is used by researchers and students worldwide and receives funding from the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health. For more information, contact them at [email protected].
To use Scite effectively, follow these steps:
Research Assistance: Scite Assistant sources data from millions of research articles, aiding in drafting essays and grants by providing insightful and reliable information relevant to the topic or subject matter.
Customization: Customize Scite Assistant settings to control functions like determining if references are required, setting search filters, managing response length, and focusing searches on specific collections or journals of interest.
Drafting Support: Scite Assistant assists in drafting essays or grants by providing well-researched materials based on user prompts and input. The tool helps in the creation and development of comprehensive drafts.
Competing Evidence Search: Scite Assistant can find competing evidence and summaries from related sources, allowing users to explore different perspectives and gather a wide range of evidence for research purposes.
Large Language Models (LLMs): Scite Assistant utilizes large language models to process vast amounts of research articles and provide research-backed answers. The tool uses this information to generate reliable responses to user queries.
Publication Specific Searches: Scite Assistant can be tailored to find information from specific journal names, making it easier to gather data from desired publications. Users can apply filters to focus on particular journal names when searching for papers.
User-Driven Customization: Make use of the user-driven customization feature, allowing personalized adjustments such as specifying search filters, controlling response length, and deciding on the need for references. This enhances the research task experience.
Insights and Guidance: Benefit from the thought process insight provided by Scite Assistant, which offers a window into the tool's decision-making process. This feature helps validate responses and enables researchers to understand the basis of information provided.
By following these steps, users can effectively utilize Scite Assistant for research, drafting essays, and gathering supporting evidence from a vast database of research articles.