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Phylogeographic differentiation in the mitochondrial control region in the koala, Phascolarctos cinereus (Goldfuss 1817)

Overview of attention for article published in Molecular Ecology, January 2002
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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2 policy sources
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4 Wikipedia pages

Citations

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63 Dimensions

Readers on

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89 Mendeley
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Title
Phylogeographic differentiation in the mitochondrial control region in the koala, Phascolarctos cinereus (Goldfuss 1817)
Published in
Molecular Ecology, January 2002
DOI 10.1046/j.1365-294x.1999.00656.x
Pubmed ID
Authors

Bronwyn A. Houlden, Brian H. Costello, Deirdre Sharkey, Elizabeth V. Fowler, Alistair Melzer, William Ellis, Frank Carrick, Peter R. Baverstock, Martin S. Elphinstone

Abstract

The koala, Phascolarctos cinereus, is a geographically widespread species endemic to Australia, with three currently recognized subspecies: P.c. adustus, P.c. cinereus, and P.c. victor. Intraspecific variation in the mitochondrial DNA (mtDNA) control region was examined in over 200 animals from 16 representative populations throughout the species' range. Eighteen different haplotypes were defined in the approximately 860 bp mtDNA control region, as determined by heteroduplex analysis/temperature gradient gel electrophoresis (HDA/TGGE). Any single population typically possessed only one or two haplotypes yielding an average within-population haplotypic diversity of 0.180 +/- 0.003, and nucleotide diversity of 0.16%. Overall, mtDNA control region sequence diversity between populations averaged 0.67%, and ranged from 0% to 1.56%. Nucleotide divergence between populations averaged 0.51%, and ranged from 0% to 1.53%. Neighbour-joining methods revealed limited phylogenetic distinction between geographically distant populations of koalas, and tentative support for a single evolutionarily significant unit (ESU). This is consistent with previous suggestions that the morphological differences formalized by subspecific taxonomy may be interpreted as clinal variation. Significant differentiation in mtDNA-haplotype frequencies between localities suggested that little gene flow currently exists among populations. When combined with microsatellite analysis, which has revealed substantial differentiation among koala populations, we conclude that the appropriate short-term management unit (MU) for koalas is the local population.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Australia 2 2%
Germany 1 1%
Colombia 1 1%
India 1 1%
Brazil 1 1%
Mexico 1 1%
Canada 1 1%
Unknown 78 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 18%
Student > Ph. D. Student 13 15%
Student > Master 9 10%
Student > Bachelor 7 8%
Student > Postgraduate 6 7%
Other 16 18%
Unknown 22 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 53%
Environmental Science 9 10%
Biochemistry, Genetics and Molecular Biology 3 3%
Medicine and Dentistry 3 3%
Physics and Astronomy 1 1%
Other 3 3%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 November 2016.
All research outputs
#3,656,091
of 24,701,898 outputs
Outputs from Molecular Ecology
#2,022
of 6,621 outputs
Outputs of similar age
#8,406
of 129,267 outputs
Outputs of similar age from Molecular Ecology
#4
of 57 outputs
Altmetric has tracked 24,701,898 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 69% 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 129,267 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 91% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.