• Frederik Kok Hansen
Speciale, Kandidatuddannelsen
The present thesis serves as an example of how to deal with an altmetric case study, Nordic Economic Policy Review, when data from commercial aggregators are insufficient and the publication is not included in citation indexes such as Web of Science.
Due to the lack of altmetric data from commercial aggregators the thesis expands its empirical foundation by scraping the social media Twitter for Twitter-followers who have received a tweet mentioning Nordic Economic Policy Review. Thereby it has been possible to map certain characteristics for users who have been exposed to Nordic Economic Policy Review. Furthermore, it has been possible to map how the journal has been scattered across the world through twitter accounts. The theoretical foundation for this approach draws on the social constructivist theory of citing, the new sociology of science and actor-network-theory.
Though Nordic Economic Policy Review is not included in any of the mayor commercial citation indexes such as Web of Science it has been possible to locate the journal through the Cited Reference Search function. Thereby it has been possible to locate professors and sources who are arguably paying an intellectual debt to articles published in Nordic Economic Policy Review. The theoretical foundation for this approach draws on the normative theory of citing and the sociology of science.
Based on the case study it is proposed that future research examines how valid and useful Twitter-follower data is for altmetric case studies.
SprogDansk
Udgivelsesdato31 jan. 2017
Antal sider89

    Emneord

  • informetri, altmetri, videnskabssociologi, bibliometri