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Unraveling the message: insights into comparative genomics of the naked mole-rat

Overview of attention for article published in Mammalian Genome, June 2016
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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9 X users
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129 Mendeley
Title
Unraveling the message: insights into comparative genomics of the naked mole-rat
Published in
Mammalian Genome, June 2016
DOI 10.1007/s00335-016-9648-5
Pubmed ID
Authors

Kaitlyn N. Lewis, Ilya Soifer, Eugene Melamud, Margaret Roy, R. Scott McIsaac, Matthew Hibbs, Rochelle Buffenstein

Abstract

Animals have evolved to survive, and even thrive, in different environments. Genetic adaptations may have indirectly created phenotypes that also resulted in a longer lifespan. One example of this phenomenon is the preternaturally long-lived naked mole-rat. This strictly subterranean rodent tolerates hypoxia, hypercapnia, and soil-based toxins. Naked mole-rats also exhibit pronounced resistance to cancer and an attenuated decline of many physiological characteristics that often decline as mammals age. Elucidating mechanisms that give rise to their unique phenotypes will lead to better understanding of subterranean ecophysiology and biology of aging. Comparative genomics could be a useful tool in this regard. Since the publication of a naked mole-rat genome assembly in 2011, analyses of genomic and transcriptomic data have enabled a clearer understanding of mole-rat evolutionary history and suggested molecular pathways (e.g., NRF2-signaling activation and DNA damage repair mechanisms) that may explain the extraordinarily longevity and unique health traits of this species. However, careful scrutiny and re-analysis suggest that some identified features result from incorrect or imprecise annotation and assembly of the naked mole-rat genome: in addition, some of these conclusions (e.g., genes involved in cancer resistance and hairlessness) are rejected when the analysis includes additional, more closely related species. We describe how the combination of better study design, improved genomic sequencing techniques, and new bioinformatic and data analytical tools will improve comparative genomics and ultimately bridge the gap between traditional model and nonmodel organisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 19%
Researcher 22 17%
Student > Master 18 14%
Student > Doctoral Student 15 12%
Student > Bachelor 8 6%
Other 23 18%
Unknown 18 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 30%
Agricultural and Biological Sciences 37 29%
Medicine and Dentistry 8 6%
Neuroscience 3 2%
Immunology and Microbiology 3 2%
Other 10 8%
Unknown 29 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 April 2022.
All research outputs
#6,967,710
of 25,196,456 outputs
Outputs from Mammalian Genome
#283
of 1,154 outputs
Outputs of similar age
#106,348
of 360,279 outputs
Outputs of similar age from Mammalian Genome
#4
of 15 outputs
Altmetric has tracked 25,196,456 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,154 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 360,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.