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The Lectin Pathway of Complement and Rheumatic Heart Disease

Overview of attention for article published in Frontiers in Pediatrics, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
The Lectin Pathway of Complement and Rheumatic Heart Disease
Published in
Frontiers in Pediatrics, January 2015
DOI 10.3389/fped.2014.00148
Pubmed ID
Authors

Marcia Holsbach Beltrame, Sandra Jeremias Catarino, Isabela Goeldner, Angelica Beate Winter Boldt, Iara José de Messias-Reason

Abstract

The innate immune system is the first line of host defense against infection and is comprised of humoral and cellular mechanisms that recognize potential pathogens within minutes or hours of entry. The effector components of innate immunity include epithelial barriers, phagocytes, and natural killer cells, as well as cytokines and the complement system. Complement plays an important role in the immediate response against microorganisms, including Streptococcus sp. The lectin pathway is one of three pathways by which the complement system can be activated. This pathway is initiated by the binding of mannose-binding lectin (MBL), collectin 11 (CL-K1), and ficolins (Ficolin-1, Ficolin-2, and Ficolin-3) to microbial surface oligosaccharides and acetylated residues, respectively. Upon binding to target molecules, MBL, CL-K1, and ficolins form complexes with MBL-associated serine proteases 1 and 2 (MASP-1 and MASP-2), which cleave C4 and C2 forming the C3 convertase (C4b2a). Subsequent activation of complement cascade leads to opsonization, phagocytosis, and lysis of target microorganisms through the formation of the membrane-attack complex. In addition, activation of complement may induce several inflammatory effects, such as expression of adhesion molecules, chemotaxis and activation of leukocytes, release of reactive oxygen species, and secretion of cytokines and chemokines. In this chapter, we review the general aspects of the structure, function, and genetic polymorphism of lectin-pathway components and discuss most recent understanding on the role of the lectin pathway in the predisposition and clinical progression of Rheumatic Fever.

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The data shown below were collected from the profiles of 5 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 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 229 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 43 19%
Student > Ph. D. Student 36 16%
Student > Master 26 11%
Researcher 15 7%
Student > Doctoral Student 11 5%
Other 29 13%
Unknown 69 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 16%
Medicine and Dentistry 35 15%
Immunology and Microbiology 29 13%
Agricultural and Biological Sciences 28 12%
Chemistry 8 3%
Other 29 13%
Unknown 64 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 March 2015.
All research outputs
#12,910,051
of 22,778,347 outputs
Outputs from Frontiers in Pediatrics
#1,543
of 5,933 outputs
Outputs of similar age
#164,351
of 351,724 outputs
Outputs of similar age from Frontiers in Pediatrics
#8
of 27 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,933 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 73% 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 351,724 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.