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[journal article]

dc.contributor.authorMomeni, Fakhride
dc.contributor.authorDietze, Stefande
dc.contributor.authorMayr, Philippde
dc.contributor.authorBiesenbender, Kristinde
dc.contributor.authorPeters, Isabellade
dc.date.accessioned2024-01-12T12:50:46Z
dc.date.available2024-01-12T12:50:46Z
dc.date.issued2023de
dc.identifier.issn2641-3337de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/91292
dc.description.abstractOpen Access (OA) facilitates access to research articles. However, authors or funders often must pay the publishing costs, preventing authors who do not receive financial support from participating in OA publishing and gaining citation advantage for OA articles. OA may exacerbate existing inequalities in the publication system rather than overcome them. To investigate this, we studied 522,411 articles published by Springer Nature. Employing correlation and regression analyses, we describe the relationship between authors affiliated with countries from different income levels, their choice of publishing model, and the citation impact of their papers. A machine learning classification method helped us to explore the importance of different features in predicting the publishing model. The results show that authors eligible for article processing charge (APC) waivers publish more in gold OA journals than others. In contrast, authors eligible for an APC discount have the lowest ratio of OA publications, leading to the assumption that this discount insufficiently motivates authors to publish in gold OA journals. We found a strong correlation between the journal rank and the publishing model in gold OA journals, whereas the OA option is mostly avoided in hybrid journals. Also, results show that the countries’ income level, seniority, and experience with OA publications are the most predictive factors for OA publishing in hybrid journals.de
dc.languageende
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcNews media, journalism, publishingen
dc.subject.otherAPC policies; bibliometrics; citation impact; machine learningde
dc.titleWhich factors are associated with Open Access publishing? A Springer Nature case studyde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalQuantitative Science Studies
dc.source.volume4de
dc.publisher.countryUSAde
dc.source.issue2de
dc.subject.classozSzientometrie, Bibliometrie, Informetriede
dc.subject.classozScientometrics, Bibliometrics, Informetricsen
dc.subject.thesozPublikationde
dc.subject.thesozpublicationen
dc.subject.thesozOpen Accessde
dc.subject.thesozopen accessen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10041401
internal.identifier.thesoz10081741
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo353-371de
internal.identifier.classoz1080503
internal.identifier.journal1934
internal.identifier.document32
internal.identifier.ddc070
dc.identifier.doihttps://doi.org/10.1162/qss_a_00253de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontruede
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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