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The attached files allow users to fully replicate the analyses contained in the paper by Bortolini et al. 2017, Inferring patterns of folktale diffusion using genomic data, PNAS, investigating the mechanisms of folktale diffusion across Eurasia. When using, modifying or sharing any of these codes and datasets for any purpose please always fully quote the paper published in PNAS by Bortolini et al (2017) The file TellTaleGenome_src.R contains all source codes to be used jointly with the file TellTaleGenome_log.R, a log which comprises all the commands executed to perform all the analyses contained in the above mentioned paper, from data import to the generation of all figures. Please refer to TellTaleGenome_src.R for a commented description of each function and to generate individual source codes to be implemented in R. Please note: the log file contains commands referred to the use of SpaceMix (Bradburd GS, Ralph PL, Coop GM, 2013. Disentangling the effects of geographic and ecological isolation on genetic differentiation. Evolution 67(11):3258-3273) In order to run SpaceMix as reported in the main text it is necessary to follow the instructions reported in the relative log section (SPACEMIX). Data files to be used for SPACEMIX can be downloaded from the linked dataset provided by Estonian Biocentre (www.ebc.ee/free_data) and adapted from Pagani et al. 2016 (doi:10.1038/nature19792) In order to run all the remaining analyses in R using the source file through direct copy-and-paste of the commands reported in the log, it is necessary to comment out the relevant SPACEMIX section from the log file itself (beginning and end of the section are appropriately signalled) Please also note that all the raw data files with a ".csv" extension are grouped into a folder named "data" in order to be used jointly with source codes and commands as they are now.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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