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Inferring the causal effect of journals on citations

Traag, Vincent Antonio


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        <foaf:name>Traag, Vincent Antonio</foaf:name>
        <foaf:givenName>Vincent Antonio</foaf:givenName>
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    <dct:title>Inferring the causal effect of journals on citations</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dcat:keyword>Causal inference</dcat:keyword>
    <dcat:keyword>Journal</dcat:keyword>
    <dcat:keyword>Citations</dcat:keyword>
    <dcat:keyword>Bayesian hierarchical model</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-02-05</dct:issued>
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    <dct:description>&lt;p&gt;Articles in high-impact journals are, on average, more frequently cited. But are they cited more often because those articles are somehow more &amp;ldquo;citable&amp;rdquo;? Or are they cited more often simply because they are published in a high-impact journal? Although some evidence suggests the latter the causal relationship is not clear. We here compare citations of preprints to citations of the published version to uncover the causal mechanism. We build on an earlier model of citation dynamics to infer the causal effect of journals on citations. We find that high-impact journals select articles that tend to attract more citations. At the same time, we find that high-impact journals augment the citation rate of published articles. Our results yield a deeper understanding of the role of journals in the research system. The use of journal metrics in research evaluation has been increasingly criticized in recent years and article-level citations are sometimes suggested as an alternative. Our results show that removing impact factors from evaluation does not negate the influence of journals. This insight has important implications for changing practices of research evaluation.&lt;/p&gt;</dct:description>
    <dct:description>Presented at Complexity Science Hub Vienna, 5 February 2021</dct:description>
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