In August 2020, scite released their Smart Citation Badges which are now being used on many key academic databases and publishers sites. In short, we want to make citations smart–citations that not merely tell how many times an article is cited, but also provide the context for each citation and the citation meaning, such as whether it provides supporting or contradicting evidence for the cited claim.” Rather than broadening the scope of references/citations, scite employs “deep learning to show how an article has been cited and, specifically, if it has been supported or contradicted, where the citations appear in the citing paper, and if it is a self-cite or a citation from a review or article. The Reference Check allows you to quickly and easily upload your own research articles to see how the references you are citing have been cited by others. As the database is described on the scite pages: Over 23 million full-text articles have been processed and 813 million citation statements have been extracted and analyzed.įor searchers, scite uses a system they call Smart Citations that allows “users to see how a scientific paper has been cited by providing the context of the citation and a classification describing whether it provides supporting or disputing evidence for the cited claim.” The speed of the database is impressive and the graphics are every bit as impressive as the information that it presents. Over the past two years, scite has made incredible progress in database development, size and functionality. The company describes scite not as a product or database, but as “a platform that uses deep learning, natural language processing, and a network of experts to identify and promote reliable research by evaluating the veracity of scientific claims.” It includes mentions and other key elements of value/success of some research however, as I see it, scite follows a different type of structure and philosophy.Ĭovered by Against the Grain in a 2019 article, scite, in development since June 2018, provides an amazing look into the future promise of research analytics. Scite is a very different type of platform from most of the other systems out there. Scite is used by researchers from dozens of countries and is funded in part by the National Science Foundation and the National Institute of Drug Abuse of the National Institutes of Health,” according to scite.ai. Scite is a Brooklyn-based startup that helps researchers better discover and evaluate scientific articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contradicting evidence. “Using Smart Citations, easily check how an article has been cited and if it has been supported or disputed by others. “By collecting all the relevant citing papers on a subject in a WoS search, the collective memory of the citing authors produces a visual description of the topical history.” By itself, this was a revolutionary way to observe the progress of science. At his core, Garfield was a scientist interested deeply in the progress of science. In his article in the evolution of the Science Citation Index in International Microbiology in 2007, Gene Garfield discussed key goals and needs for studying citedness and the issue of quality in terms of what and where the citations occur. According to a quick search in Google Scholar for the year 2020, over 450 articles are listed in a search by the company/database name, scite. Validation has also come from the hundreds of published scholarly research papers using scite data and analysis.
#SCITE TEXT SIZE PROFESSIONAL#
In the past 18 months, progress on the scite database has been very impressive in providing more depth of analysis and breadth of the literature.Īnd scite has gotten noticed in the scientific community having received in 2019 alone: The NSF Phase I SBIR Award in July 2019 2019 People’s Choice Award for Most Innovative Idea from the International Society of Managing and Technical Editors (ISMTE) and the 2019 Award for Innovation in Publishing from the Association of Learned and Professional Society Publishers (ALPSP). Scite is a deep learning platform that evaluates the reliability of scientific claims by citation analysis and provides a far deeper understanding of the content of scholarly mentions/discussions of research from articles than ever before. In 2019 Charleston Hub first reported on the new, innovative scite, an effort to easily check how a scientific article has been cited and if it has been supported or disputed by others.
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