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https://doi.org/10.4...arrow_drop_down
https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2014 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2015 . Peer-reviewed
Data sources: Crossref
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Thresholds of Transmedia Storytelling

Applying Gérard Genette's Paratextual Theory to The 39 Clues Series for Young Readers
Authors: Amy Nottingham-Martin;

Thresholds of Transmedia Storytelling

Abstract

Much scholarly attention has been paid to how new media call for and influence the development of new literacies, but less focus has been given to exploring the underlying structure and mechanisms of projects that incorporate multiple media. Transmedia stories represent a particularly complicated and compelling type of multimedia project because of the high degree of integration among the components and resulting demand for sophisticated reading and interpretive practices. This chapter proposes a model for analysis of transmedia projects based on Gérard Genette's Paratexts: Thresholds of Interpretation and uses Scholastic, Inc.'s The 39 Clues as a case study for its application.

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selected citations
These citations are derived from selected sources.
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!
1
Average
Average
Average
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