Digital Science launches research platform

Digital Science has launched a new version of its Dimensions platform - Dimensions Life Sciences & Chemistry - focused on life sciences and chemistry research activities. Dimensions L&C analyses more than 120 million scientific publications, millions of patents, grants and clinical trial documents. It applies semantic text analysis tools and ontologies, providing powerful up-to-date discovery functionality previously unavailable at such scale. In the past, literature search tools required the user to know exactly what they wanted to find, narrowing down the relevant results and confirming or invalidating pre-defined hypotheses. Thanks to insights systematically captured in ontologies and computational power, researchers can get answers to complex and diverse queries directly from the source content. Users can search for small molecules, chemical reactions and gene sequences, validate biomarkers, understand disease mechanisms and identify drug targets. They can also quickly discover relevant chemical information in broader life sciences and chemistry research areas working with a chemistry structure editor and a biosequence search for nucleotides and proteins. Different from other products, data is identified in full-text documents on a daily basis, creating a highly comprehensive and up-to-date resource. Christian Herzog, CEO Dimensions, said: "There is an ever-growing publication haystack and researchers need to find the needles of information quickly and efficiently. In the past you needed to know what to ask the search engine in order to find it, but with Dimensions L&C, we are now providing next generation discoverability for life sciences and chemistry researchers: an ontology driven retrieval engine which identifies relationships and links in more than 120m publications - allowing the researcher to move on from search to AI-supported discovery." Research Collaboration among Covid Researchers: Researchers coloured by primary RCRC category. Clinical Research (green), Infectious Diseases (orange), Cancer (dark brown), Genetics (light brown), Cardiovascular (olive), Lung (dark blue), Digestive Diseases (purple), Neurosciences (yellow), and Bioengineering (light blue). Clustering is based on proximity of co-authorship. Node size is determined by number of publications in whole research career.