Dimensions: Building context for search and evaluation
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Published version
Author(s)
Hook, Daniel W
Porter, Simon J
Herzog, Christian
Type
Journal Article
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.
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.
Date Issued
2018-08-23
Date Acceptance
2018-07-31
Citation
Frontiers in Research Metrics and Analytics, 2018, 3
ISSN
2504-0537
Publisher
Frontiers Media S.A.
Journal / Book Title
Frontiers in Research Metrics and Analytics
Volume
3
Copyright Statement
© 2018 Hook, Porter and Herzog. This is an open-access article distributed
under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use,
distribution or reproduction in other forums is permitted, provided the original
author(s) and the copyright owner(s) are credited and that the original publication
in this journal is cited, in accordance with accepted academic practice. No use,
distribution or reproduction is permitted which does not comply with these terms.
under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use,
distribution or reproduction in other forums is permitted, provided the original
author(s) and the copyright owner(s) are credited and that the original publication
in this journal is cited, in accordance with accepted academic practice. No use,
distribution or reproduction is permitted which does not comply with these terms.
Publication Status
Published
Article Number
23
Date Publish Online
2018-08-23