Studying folktale diffusion needs unbiased dataset
Proc Natl Acad Sci U S A
.
2017 Oct 10;114(41):E8555.
doi: 10.1073/pnas.1714884114.
Epub 2017 Oct 3.
Authors
Julien d'Huy
1
,
Jean-Loïc Le Quellec
2
,
Yuri Berezkin
3
4
,
Patrice Lajoye
5
,
Hans-Jörg Uther
6
Affiliations
1
Institute of African Worlds, UMR CNRS 8171 and Research Institute for Development (IRD) 243, 75000 Paris, France; Julien.dHuy@malix.univ-paris1.fr.
2
Institute of African Worlds, UMR CNRS 8171 and Research Institute for Development (IRD) 243, 75000 Paris, France.
3
American Department, Museum of Anthropology & Ethnography (Kunstkamera), Russian Academy of Sciences, 812 St. Petersburg, Russia.
4
Department of Anthropology, European University at Saint Petersburg, 812 St. Petersburg, Russia.
5
CNRS, 14000 Caen, France.
6
University of Duisburg-Essen, 47057 Duisburg, Germany.
PMID:
29073007
PMCID:
PMC5642731
DOI:
10.1073/pnas.1714884114
No abstract available
Publication types
Letter
Comment
MeSH terms
Cultural Characteristics*
Folklore*
Genomics*
Humans