Scite.ai Demo - AI-Powered Literature Search

Josh, the co-founder of Site and a cell biologist, introduces the platform designed to enhance the process of discovering, understanding, and evaluating research. He uses an example of an article from Nature, 2010, to discuss the importance of considering where it's published, the authors, and their affiliations. Josh emphasizes the need to look beyond basic metrics and to understand the context of citations, which can vary significantly. Site aims to make this information digestible by extracting and classifying citation statements from full texts, offering a more nuanced view of how research is referenced.

Josh explains the concept of 'Smart Citations', which are extracted from both open access and subscription-based articles to provide a comprehensive view of how research is cited. Site has extracted 1.3 billion smart citations, allowing users to quickly see how articles, researchers, or topics have been cited. The platform also allows users to search for specific topics, such as 'usp14 degradation', and view discussions around it in literature, saving time and providing insights without the need to open full articles. The summary also touches on the ability to filter studies based on support or debate, indicating potential research gaps.

Josh introduces the advanced literature search feature on Site, which allows users to search within articles before accessing the full text. This feature is designed to be user-friendly and powerful, enabling users to find discussions related to their interests of study. Additionally, Josh discusses the launch of 'Site Assistant', which uses large language models (LLMs) to provide trustworthy responses to user queries. Site Assistant not only answers questions but also runs searches on scholarly articles and fact-checks the information, ensuring users receive accurate and verifiable data.