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Can Genetic Differences Explain Vocal Dialect Variation in Sperm Whales, Physetermacrocephalus?

Overview of attention for article published in Behavior Genetics, October 2011
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 908)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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6 news outlets
blogs
1 blog
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6 X users

Citations

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68 Dimensions

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218 Mendeley
Title
Can Genetic Differences Explain Vocal Dialect Variation in Sperm Whales, Physetermacrocephalus?
Published in
Behavior Genetics, October 2011
DOI 10.1007/s10519-011-9513-y
Pubmed ID
Authors

Luke Rendell, Sarah L. Mesnick, Merel L. Dalebout, Jessica Burtenshaw, Hal Whitehead

Abstract

Sperm whale social groups can be assigned to vocal clans based on their production of codas, short stereotyped patterns of clicks. It is currently unclear whether genetic variation could account for these behavioural differences. We studied mitochondrial DNA (mtDNA) variation among sympatric vocal clans in the Pacific Ocean, using sequences extracted from sloughed skin samples. We sampled 194 individuals from 30 social groups belonging to one of three vocal clans. As in previous studies of sperm whales, mtDNA control region diversity was low (π = 0.003), with just 14 haplotypes present in our sample. Both hierarchical AMOVAs and partial Mantel tests showed that vocal clan was a more important factor in matrilineal population genetic structure than geography, even though our sampling spanned thousands of kilometres. The variance component attributed to vocal dialects (7.7%) was an order of magnitude higher than those previously reported in birds, while the variance component attributed to geographic area was negligible. Despite this, the two most common haplotypes were present in significant quantities in each clan, meaning that variation in the control region cannot account for behavioural variation between clans, and instead parallels the situation in humans where parent-offspring transmission of language variation has resulted in correlations with neutral genes. Our results also raise questions for the management of sperm whale populations, which has traditionally been based on dividing populations into geographic 'stocks', suggesting that culturally-defined vocal clans may be more appropriate management units.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Italy 2 <1%
Norway 1 <1%
Uruguay 1 <1%
Colombia 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 205 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 22%
Student > Master 43 20%
Student > Ph. D. Student 31 14%
Student > Bachelor 28 13%
Other 18 8%
Other 26 12%
Unknown 23 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 131 60%
Environmental Science 32 15%
Biochemistry, Genetics and Molecular Biology 6 3%
Social Sciences 3 1%
Earth and Planetary Sciences 3 1%
Other 8 4%
Unknown 35 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2019.
All research outputs
#602,665
of 22,655,397 outputs
Outputs from Behavior Genetics
#25
of 908 outputs
Outputs of similar age
#2,377
of 139,967 outputs
Outputs of similar age from Behavior Genetics
#2
of 7 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 908 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 139,967 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.