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The complement system and toll-like receptors as integrated players in the pathophysiology of atherosclerosis

Overview of attention for article published in Atherosclerosis (00219150), June 2015
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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3 X users
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2 patents

Citations

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88 Dimensions

Readers on

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138 Mendeley
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Title
The complement system and toll-like receptors as integrated players in the pathophysiology of atherosclerosis
Published in
Atherosclerosis (00219150), June 2015
DOI 10.1016/j.atherosclerosis.2015.05.038
Pubmed ID
Authors

Anders Hovland, Lena Jonasson, Peter Garred, Arne Yndestad, Pål Aukrust, Knut T. Lappegård, Terje Espevik, Tom E. Mollnes

Abstract

Despite recent medical advances, atherosclerosis is a global burden accounting for numerous deaths and hospital admissions. Immune-mediated inflammation is a major component of the atherosclerotic process, but earlier research focus on adaptive immunity has gradually switched towards the role of innate immunity. The complement system and toll-like receptors (TLRs), and the crosstalk between them, may be of particular interest both with respect to pathogenesis and as therapeutic targets in atherosclerosis. Animal studies indicate that inhibition of C3a and C5a reduces atherosclerosis. In humans modified LDL-cholesterol activate complement and TLRs leading to downstream inflammation, and histopathological studies indicate that the innate immune system is present in atherosclerotic lesions. Moreover, clinical studies have demonstrated that both complement and TLRs are upregulated in atherosclerotic diseases, although interventional trials have this far been disappointing. However, based on recent research showing an intimate interplay between complement and TLRs we propose a model in which combined inhibition of both complement and TLRs may represent a potent anti-inflammatory therapeutic approach to reduce atherosclerosis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 2 1%
Russia 1 <1%
United States 1 <1%
Unknown 134 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Researcher 21 15%
Student > Bachelor 18 13%
Student > Master 15 11%
Student > Postgraduate 8 6%
Other 21 15%
Unknown 31 22%
Readers by discipline Count As %
Medicine and Dentistry 36 26%
Agricultural and Biological Sciences 22 16%
Biochemistry, Genetics and Molecular Biology 20 14%
Pharmacology, Toxicology and Pharmaceutical Science 9 7%
Immunology and Microbiology 9 7%
Other 6 4%
Unknown 36 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 January 2020.
All research outputs
#4,608,055
of 25,374,917 outputs
Outputs from Atherosclerosis (00219150)
#1,011
of 5,587 outputs
Outputs of similar age
#54,166
of 280,816 outputs
Outputs of similar age from Atherosclerosis (00219150)
#10
of 110 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,587 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 81% 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 280,816 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 80% of its contemporaries.
We're also able to compare this research output to 110 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 90% of its contemporaries.