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An outline of necrosome triggers

Overview of attention for article published in Cellular and Molecular Life Sciences, April 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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 X user
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3 patents

Citations

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102 Dimensions

Readers on

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149 Mendeley
Title
An outline of necrosome triggers
Published in
Cellular and Molecular Life Sciences, April 2016
DOI 10.1007/s00018-016-2189-y
Pubmed ID
Authors

Tom Vanden Berghe, Behrouz Hassannia, Peter Vandenabeele

Abstract

Necroptosis was initially identified as a backup cell death program when apoptosis is blocked. However, it is now recognized as a cellular defense mechanism against infections and is presumed to be a detrimental factor in several pathologies driven by cell death. Necroptosis is a prototypic form of regulated necrosis that depends on activation of the necrosome, which is a protein complex in which receptor interacting protein kinase (RIPK) 3 is activated. The RIP homotypic interaction motif (RHIM) is the core domain that regulates activation of the necrosome. To date, three RHIM-containing proteins have been reported to activate the kinase activity of RIPK3 within the necrosome: RIPK1, Toll/IL-1 receptor domain-containing adaptor inducing IFN-β (TRIF), and DNA-dependent activator of interferon regulatory factors (DAI). Here, we review and discuss commonalities and differences of the increasing number of activators of the necrosome. Since the discovery that activation of mixed lineage kinase domain-like (MLKL) by RIPK3 kinase activity is crucial in necroptosis, interest has increased in monitoring and therapeutically targeting their activation. The availability of new phospho-specific antibodies, pharmacologic inhibitors, and transgenic models will allow us to further document the role of necroptosis in degenerative, inflammatory and infectious diseases.

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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Belgium 1 <1%
Unknown 146 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 21%
Student > Master 25 17%
Researcher 19 13%
Student > Bachelor 15 10%
Student > Doctoral Student 13 9%
Other 17 11%
Unknown 28 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 28%
Agricultural and Biological Sciences 28 19%
Immunology and Microbiology 19 13%
Medicine and Dentistry 15 10%
Neuroscience 7 5%
Other 11 7%
Unknown 27 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 17 May 2022.
All research outputs
#3,108,935
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#465
of 4,151 outputs
Outputs of similar age
#50,513
of 302,882 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#10
of 90 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 88% 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 302,882 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 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.