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The evolution of natural killer cell receptors

Overview of attention for article published in Immunogenetics, September 2015
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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4 X users
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1 patent
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1 Wikipedia page

Readers on

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167 Mendeley
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Title
The evolution of natural killer cell receptors
Published in
Immunogenetics, September 2015
DOI 10.1007/s00251-015-0869-7
Pubmed ID
Authors

Paola Carrillo-Bustamante, Can Keşmir, Rob J. de Boer

Abstract

Natural killer (NK) cells are immune cells that play a crucial role against viral infections and tumors. To be tolerant against healthy tissue and simultaneously attack infected cells, the activity of NK cells is tightly regulated by a sophisticated array of germline-encoded activating and inhibiting receptors. The best characterized mechanism of NK cell activation is "missing self" detection, i.e., the recognition of virally infected or transformed cells that reduce their MHC expression to evade cytotoxic T cells. To monitor the expression of MHC-I on target cells, NK cells have monomorphic inhibitory receptors which interact with conserved MHC molecules. However, there are other NK cell receptors (NKRs) encoded by gene families showing a remarkable genetic diversity. Thus, NKR haplotypes contain several genes encoding for receptors with activating and inhibiting signaling, and that vary in gene content and allelic polymorphism. But if missing-self detection can be achieved by a monomorphic NKR system why have these polygenic and polymorphic receptors evolved? Here, we review the expansion of NKR receptor families in different mammal species, and we discuss several hypotheses that possibly underlie the diversification of the NK cell receptor complex, including the evolution of viral decoys, peptide sensitivity, and selective MHC-downregulation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 166 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 17%
Researcher 28 17%
Student > Bachelor 25 15%
Student > Master 24 14%
Student > Doctoral Student 13 8%
Other 21 13%
Unknown 27 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 26%
Immunology and Microbiology 36 22%
Agricultural and Biological Sciences 29 17%
Medicine and Dentistry 20 12%
Engineering 3 2%
Other 7 4%
Unknown 28 17%
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 13 February 2021.
All research outputs
#3,721,486
of 23,577,761 outputs
Outputs from Immunogenetics
#103
of 1,213 outputs
Outputs of similar age
#49,251
of 275,813 outputs
Outputs of similar age from Immunogenetics
#2
of 13 outputs
Altmetric has tracked 23,577,761 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 1,213 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 91% 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 275,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.