uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Team Bella, Team Katniss: En komparativ motivstudie av triangeldraman i Stephenie Meyers Twilight och Suzanne Collins' The Hunger Games
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Arts, Department of Literature.
2013 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2013. , 29 p.
Keyword [sv]
Twilight, The Hunger Games, Stephenie Meyers, Suzanne Collins, triangeldrama
National Category
General Literature Studies
Identifiers
URN: urn:nbn:se:uu:diva-206926OAI: oai:DiVA.org:uu-206926DiVA: diva2:646238
Supervisors
Examiners
Available from: 2013-09-09 Created: 2013-09-06 Last updated: 2013-09-09Bibliographically approved

Open Access in DiVA

fulltext(224 kB)755 downloads
File information
File name FULLTEXT01.pdfFile size 224 kBChecksum SHA-512
0f3755026bfe49d1d9f13c24ab9138ba469cd566f10206ef258e07598b5bd0fdc3e4197792600876c9b2bc57ef513f6cffceb7cbae965e747451523a219531f3
Type fulltextMimetype application/pdf

By organisation
Department of Literature
General Literature Studies

Search outside of DiVA

GoogleGoogle Scholar
Total: 755 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 964 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf