↓ Skip to main content

Comparative and population mitogenomic analyses of Madagascar's extinct, giant ‘subfossil’ lemurs

Overview of attention for article published in Journal of Human Evolution, December 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
6 news outlets
twitter
91 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
155 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparative and population mitogenomic analyses of Madagascar's extinct, giant ‘subfossil’ lemurs
Published in
Journal of Human Evolution, December 2014
DOI 10.1016/j.jhevol.2014.06.016
Pubmed ID
Authors

Logan Kistler, Aakrosh Ratan, Laurie R. Godfrey, Brooke E. Crowley, Cris E. Hughes, Runhua Lei, Yinqiu Cui, Mindy L. Wood, Kathleen M. Muldoon, Haingoson Andriamialison, John J. McGraw, Lynn P. Tomsho, Stephan C. Schuster, Webb Miller, Edward E. Louis, Anne D. Yoder, Ripan S. Malhi, George H. Perry

Abstract

Humans first arrived on Madagascar only a few thousand years ago. Subsequent habitat destruction and hunting activities have had significant impacts on the island's biodiversity, including the extinction of megafauna. For example, we know of 17 recently extinct 'subfossil' lemur species, all of which were substantially larger (body mass ∼11-160 kg) than any living population of the ∼100 extant lemur species (largest body mass ∼6.8 kg). We used ancient DNA and genomic methods to study subfossil lemur extinction biology and update our understanding of extant lemur conservation risk factors by i) reconstructing a comprehensive phylogeny of extinct and extant lemurs, and ii) testing whether low genetic diversity is associated with body size and extinction risk. We recovered complete or near-complete mitochondrial genomes from five subfossil lemur taxa, and generated sequence data from population samples of two extinct and eight extant lemur species. Phylogenetic comparisons resolved prior taxonomic uncertainties and confirmed that the extinct subfossil species did not comprise a single clade. Genetic diversity estimates for the two sampled extinct species were relatively low, suggesting small historical population sizes. Low genetic diversity and small population sizes are both risk factors that would have rendered giant lemurs especially susceptible to extinction. Surprisingly, among the extant lemurs, we did not observe a relationship between body size and genetic diversity. The decoupling of these variables suggests that risk factors other than body size may have as much or more meaning for establishing future lemur conservation priorities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 91 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Chile 1 <1%
Portugal 1 <1%
Canada 1 <1%
Unknown 147 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 22%
Student > Bachelor 28 18%
Researcher 26 17%
Student > Master 13 8%
Student > Doctoral Student 11 7%
Other 20 13%
Unknown 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 41%
Biochemistry, Genetics and Molecular Biology 19 12%
Social Sciences 14 9%
Environmental Science 13 8%
Earth and Planetary Sciences 9 6%
Other 13 8%
Unknown 24 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 98. 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 20 September 2022.
All research outputs
#438,036
of 25,753,031 outputs
Outputs from Journal of Human Evolution
#142
of 2,393 outputs
Outputs of similar age
#5,029
of 362,859 outputs
Outputs of similar age from Journal of Human Evolution
#3
of 37 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done particularly well, scoring higher than 94% 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 362,859 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 37 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 91% of its contemporaries.