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Dataset Open Access

CORD-19_ scite_citation_tallies+contexts

Scite Inc.


DCAT Export

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    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.3724818</dct:identifier>
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        <foaf:name>Scite Inc.</foaf:name>
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            <foaf:name>Scite Inc.</foaf:name>
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        </org:memberOf>
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    </dct:creator>
    <dct:title>CORD-19_ scite_citation_tallies+contexts</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>COVID-19</dcat:keyword>
    <dcat:keyword>coronavirus</dcat:keyword>
    <dcat:keyword>citation contexts</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-03-23</dct:issued>
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    <dct:description>&lt;pre&gt;On March 20, 2020 we have analyzed 20,268 out of the 21,792 DOIS available from the &lt;a href="https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge"&gt;CORD-19 data set&lt;/a&gt;. Of these documents we found citations citing 16,775 of them, and the classifications for these citations are included in covid-source-tallies.csv. covid-citations.csv includes all citations we have from all of the ~20k documents we have processed. This file is truncated to make sure it only includes openly available documents. The tallies however are not limited by this, and it is the full set relating to all source documents scite has processed.&lt;/pre&gt;</dct:description>
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        <rdfs:label>Open Access</rdfs:label>
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        <dct:license rdf:resource="http://creativecommons.org/licenses/by/4.0/legalcode"/>
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