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DAMPs, MAMPs, and NAMPs in plant innate immunity

Overview of attention for article published in BMC Plant Biology, October 2016
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
3 blogs
twitter
8 X users
wikipedia
5 Wikipedia pages

Citations

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246 Dimensions

Readers on

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485 Mendeley
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Title
DAMPs, MAMPs, and NAMPs in plant innate immunity
Published in
BMC Plant Biology, October 2016
DOI 10.1186/s12870-016-0921-2
Pubmed ID
Authors

Hyong Woo Choi, Daniel F. Klessig

Abstract

Multicellular organisms have evolved systems/mechanisms to detect various forms of danger, including attack by microbial pathogens and a variety of pests, as well as tissue and cellular damage. Detection via cell-surface receptors activates an ancient and evolutionarily conserved innate immune system. Potentially harmful microorganisms are recognized by the presence of molecules or parts of molecules that have structures or chemical patterns unique to microbes and thus are perceived as non-self/foreign. They are referred to as Microbe-Associated Molecular Patterns (MAMPs). Recently, a class of small molecules that is made only by nematodes, and that functions as pheromones in these organisms, was shown to be recognized by a wide range of plants. In the presence of these molecules, termed Nematode-Associated Molecular Patterns (NAMPs), plants activate innate immune responses and display enhanced resistance to a broad spectrum of microbial and nematode pathogens. In addition to pathogen attack, the relocation of various endogenous molecules or parts of molecules, generally to the extracellular milieu, as a result of tissue or cellular damage is perceived as a danger signal, and it leads to the induction of innate immune responses. These relocated endogenous inducers are called Damage-Associated Molecular Patterns (DAMPs). This mini-review is focused on plant DAMPs, including the recently discovered Arabidopsis HMGB3, which is the counterpart of the prototypic animal DAMP HMGB1. The plant DAMPs will be presented in the context of plant MAMPs and NAMPs, as well as animal DAMPs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 485 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 484 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 98 20%
Student > Ph. D. Student 87 18%
Student > Bachelor 49 10%
Researcher 48 10%
Student > Doctoral Student 33 7%
Other 51 11%
Unknown 119 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 208 43%
Biochemistry, Genetics and Molecular Biology 92 19%
Immunology and Microbiology 13 3%
Medicine and Dentistry 8 2%
Environmental Science 6 1%
Other 27 6%
Unknown 131 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 03 July 2023.
All research outputs
#1,555,433
of 25,837,817 outputs
Outputs from BMC Plant Biology
#54
of 3,646 outputs
Outputs of similar age
#27,552
of 323,457 outputs
Outputs of similar age from BMC Plant Biology
#2
of 38 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,646 research outputs from this source. They receive a mean Attention Score of 3.1. 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 323,457 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 91% of its contemporaries.
We're also able to compare this research output to 38 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 94% of its contemporaries.