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Population Genomics Reveal Recent Speciation and Rapid Evolutionary Adaptation in Polar Bears

Overview of attention for article published in Cell, May 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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316 Dimensions

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865 Mendeley
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3 CiteULike
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Title
Population Genomics Reveal Recent Speciation and Rapid Evolutionary Adaptation in Polar Bears
Published in
Cell, May 2014
DOI 10.1016/j.cell.2014.03.054
Pubmed ID
Authors

Shiping Liu, Eline D. Lorenzen, Matteo Fumagalli, Bo Li, Kelley Harris, Zijun Xiong, Long Zhou, Thorfinn Sand Korneliussen, Mehmet Somel, Courtney Babbitt, Greg Wray, Jianwen Li, Weiming He, Zhuo Wang, Wenjing Fu, Xueyan Xiang, Claire C. Morgan, Aoife Doherty, Mary J. O’Connell, James O. McInerney, Erik W. Born, Love Dalén, Rune Dietz, Ludovic Orlando, Christian Sonne, Guojie Zhang, Rasmus Nielsen, Eske Willerslev, Jun Wang

Abstract

Polar bears are uniquely adapted to life in the High Arctic and have undergone drastic physiological changes in response to Arctic climates and a hyper-lipid diet of primarily marine mammal prey. We analyzed 89 complete genomes of polar bear and brown bear using population genomic modeling and show that the species diverged only 479-343 thousand years BP. We find that genes on the polar bear lineage have been under stronger positive selection than in brown bears; nine of the top 16 genes under strong positive selection are associated with cardiomyopathy and vascular disease, implying important reorganization of the cardiovascular system. One of the genes showing the strongest evidence of selection, APOB, encodes the primary lipoprotein component of low-density lipoprotein (LDL); functional mutations in APOB may explain how polar bears are able to cope with life-long elevated LDL levels that are associated with high risk of heart disease in humans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 143 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 865 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 2%
Germany 4 <1%
Portugal 2 <1%
Switzerland 2 <1%
Netherlands 2 <1%
Colombia 2 <1%
Canada 2 <1%
Denmark 2 <1%
India 2 <1%
Other 14 2%
Unknown 819 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 206 24%
Researcher 143 17%
Student > Bachelor 104 12%
Student > Master 97 11%
Student > Doctoral Student 38 4%
Other 142 16%
Unknown 135 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 454 52%
Biochemistry, Genetics and Molecular Biology 127 15%
Environmental Science 41 5%
Medicine and Dentistry 17 2%
Engineering 11 1%
Other 72 8%
Unknown 143 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 769. 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 22 March 2024.
All research outputs
#25,752
of 25,756,911 outputs
Outputs from Cell
#192
of 17,267 outputs
Outputs of similar age
#130
of 243,033 outputs
Outputs of similar age from Cell
#1
of 130 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done particularly well, scoring higher than 98% 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 243,033 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 99% of its contemporaries.
We're also able to compare this research output to 130 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 99% of its contemporaries.