2018/06/11 by Nicolas Fiorini, Fiorini, Nicolas, Kathi Canese +21
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Databases (cs.DB) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Genomics and Rare Diseases #Information Retrieval (cs.IR) #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.1806.04004
openalex publication_date 2018/06/11 · openalex created_date 2018/06/13 · openalex updated_date 2026/07/28
PubMed is a freely accessible system for searching the biomedical literature, with approximately 2.5 million users worldwide on an average workday. We have recently developed PubMed Labs (www.pubmed.gov/labs), an experimental platform for users to test new features/tools and provide feedback, which enables us to make more informed decisions about potential changes to improve the search quality and overall usability of PubMed. In doing so, we hope to better meet our user needs in an era of information overload. Another novel aspect of PubMed Labs lies in its mobile-first and responsive layout, which offers better support for accessing PubMed on the increasingly popular use of mobile and small-screen devices. Currently, PubMed Labs only includes a core subset of PubMed functionalities, e.g. search, facets. We encourage users to test PubMed Labs and share their experience with us, based on which we expect to continuously improve PubMed Labs with more advanced features and better user experience.