AUTHOR=Hook Daniel W. , Porter Simon J. , Herzog Christian TITLE=Dimensions: Building Context for Search and Evaluation JOURNAL=Frontiers in Research Metrics and Analytics VOLUME=3 YEAR=2018 URL=https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2018.00023 DOI=10.3389/frma.2018.00023 ISSN=2504-0537 ABSTRACT=

Dimensions is a new scholarly search database that focuses on the broader set of use cases that academics now face. By including awarded grants, patents, and clinical trials alongside publication and Altmetric attention data, Dimensions goes beyond the standard publication-citation ecosystem to give the user a much greater sense of context of a piece of research. All entities in the graph may be linked to all other entities. Thus, a patent may be linked to a grant, if an appropriate reference is made. Books, book chapters, and conference proceedings are included in the publication index. All entities are treated as first-class objects and are mapped to a database of research institutions and a standard set of research classifications via machine-learning techniques. This article gives an overview of the methodology of construction of the Dimensions dataset and user interface.