Dimensions: Building Context for Search and Evaluation

By D. W. Hook, Simon J. Porter, C. Herzog. Frontiers in Research Metrics and Analytics, 2018

299 citations recorded by the source corpus.

Dimensions is a new database that focussed on a different set of problems to other scholarly search systems. Specifically, by the including not only data about publications and their natural associated citation graph, but by also including awarded grant data, patent data and clinical data and altmetric attention data, Dimensions holds a representation of an n-partite graph associated with the heterogeneous research objects. These objects have been treated as heterogeneous, but need to be brought onto the same footing (and homogenised) in order that they should make sense to a user. The links (or edges) in the expanded network of objects is created through extensive use of text mining and machine learning to extract and to normalise data. This article gives an overview of the techniques used to create the Dimensions dataset.

Subfields: Information Systems, Information Systems and Management, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a7b1c13a1ec66545d54ebb539d95a544c45d4a06

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Citations in the corpus

Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases (2020, background): “In recent years, new bibliographic databases have been introduced: Dimensions (Herzog et al., 2020; Hook et al., 2018) from Digital Science and Microsoft Academic (Wang et al., 2020), which can be used to study growth processes in science from centuries back.”
Leakage and the reproducibility crisis in machine-learning-based science (2023, background): “The number of political science papers containing the terms ‘‘civil war’’ and ‘‘machine learning’’ in the dimensions database of academic research.(104) ll OPEN ACCESS Article”
Pollination ecosystem services: A comprehensive review of economic values, research funding and policy actions (2020, background): “The database includes research articles and their citations, books, grants awarded, patents, clinical trials and policy documents with a standard set of research classifications employing machine-learning techniques (Hook et al. 2018).”
Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today's Academic World (2021, background): “As WoS and Scopus, Dimensions also is a controlled subscription-based DB, but a free basic version is also available [35,36].”