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With Dimensions, researchers have access to a vast collection of curated research outputs and tools that help them find what they need to advance their discoveries.
This guide provides a short overview of Dimensions navigation and functionality, including some sample searches you might
like to try to get started.
This documentation contains high-level information about the project and its development, as well as the language’s features and usage.
This page contains Jupyter notebooks to show how to carry out common scholarly data analytics tasks using the Dimensions Analytics API.
Access to large scale data to produce new insights or reproduce existing results is a necessity for scientometric research and access cannot be limited by commercial considerations.
A collaborative approach to creating a modern infrastructure for data
describing research: where we are and where we want to take it.
This article, which was published in Frontiers, gives an overview of the methodology of construction of the Dimensions dataset and user interface.
This report takes a closer look at some of the research insights that can be gathered using the new Dimensions platform, with a focus on the benefits of its collaborative approach to development.
