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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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The STRINGS queries to identify documents related to the SDGs

Authors: Confraria; Ciarli; Colonna; Noyons;

The STRINGS queries to identify documents related to the SDGs

Abstract

This page contains an Excel file with search queries to identify documents related to the Sustainable Development Goals (SDGs) 1-16. It also contains a document that explains the methodology used to create the queries. This procedure was created for the STRINGS project. It is important to note that in our work to identify SGD-related publications, we do not rely exclusively on search queries. We apply each SDG query to research areas that are obtained from a publication-level clustering algorithm, based on direct backwards and forward citations. We then select research areas related to SDGs, and include all the publications that contribute to that area. The advantage of this procedure is that it allows: i) to include publications that do not use SDG-related language in their abstract or title but which contribute to the research in a cluster/area that has several publications that use SDG-related language; ii) to exclude publications that use terms that are related to SDGs, but do not contribute research that is related to the SDGs. In the STRINGS report, you can find an application to map and characterise publications and patents related to the SDGs, and a country-level analysis of the alignment between research priorities and SDG challenges.

Keywords

Science Policy, Bibliometrics, Sustainable Development Goals, Queries

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
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69
58
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