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Characterization of the opossum immune genome provides insights into the evolution of the mammalian immune system

Overview of attention for article published in Genome Research, May 2007
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 news outlet
blogs
1 blog
twitter
1 X user

Citations

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97 Dimensions

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86 Mendeley
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Title
Characterization of the opossum immune genome provides insights into the evolution of the mammalian immune system
Published in
Genome Research, May 2007
DOI 10.1101/gr.6121807
Pubmed ID
Authors

Katherine Belov, Claire E. Sanderson, Janine E. Deakin, Emily S.W. Wong, Daniel Assange, Kaighin A. McColl, Alex Gout, Bernard de Bono, Alexander D. Barrow, Terence P. Speed, John Trowsdale, Anthony T. Papenfuss

Abstract

The availability of the first marsupial genome sequence has allowed us to characterize the immunome of the gray short-tailed opossum (Monodelphis domestica). Here we report the identification of key immune genes, including the highly divergent chemokines, defensins, cathelicidins, and Natural Killer cell receptors. It appears that the increase in complexity of the mammalian immune system occurred prior to the divergence of the marsupial and eutherian lineages approximately 180 million years ago. Genomes of ancestral mammals most likely contained all of the key mammalian immune gene families, with evolution on different continents, in the presence of different pathogens leading to lineage specific expansions and contractions, resulting in some minor differences in gene number and composition between different mammalian lineages. Gene expansion and extensive heterogeneity in opossum antimicrobial peptide genes may have evolved as a consequence of the newborn young needing to survive without an adaptive immune system in a pathogen laden environment. Given the similarities in the genomic architecture of the marsupial and eutherian immune systems, we propose that marsupials are ideal model organisms for the study of developmental immunology.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Mexico 1 1%
United States 1 1%
Unknown 82 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 28%
Student > Ph. D. Student 13 15%
Student > Bachelor 10 12%
Professor 6 7%
Student > Doctoral Student 5 6%
Other 12 14%
Unknown 16 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 47%
Biochemistry, Genetics and Molecular Biology 12 14%
Immunology and Microbiology 6 7%
Veterinary Science and Veterinary Medicine 2 2%
Chemistry 2 2%
Other 5 6%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 15 August 2019.
All research outputs
#1,918,224
of 25,371,288 outputs
Outputs from Genome Research
#929
of 4,425 outputs
Outputs of similar age
#4,059
of 85,594 outputs
Outputs of similar age from Genome Research
#3
of 41 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done well, scoring higher than 79% 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 85,594 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 95% of its contemporaries.
We're also able to compare this research output to 41 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.