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DC-SIGN and L-SIGN: the SIGNs for infection

Overview of attention for article published in Journal of Molecular Medicine, May 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 patent
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2 Wikipedia pages

Citations

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121 Dimensions

Readers on

mendeley
132 Mendeley
Title
DC-SIGN and L-SIGN: the SIGNs for infection
Published in
Journal of Molecular Medicine, May 2008
DOI 10.1007/s00109-008-0350-2
Pubmed ID
Authors

Ui-Soon Khoo, Kelvin Y. K. Chan, Vera S. F. Chan, C. L. Steve Lin

Abstract

Two closely related trans-membrane C-type lectins dendritic cell-specific intracellular adhesion molecules (ICAM)-3 grabbing non-integrin (DC-SIGN or CD209) and liver/lymph node-specific ICAM-3 grabbing non-integrin (L-SIGN also known as DC-SIGNR, CD209L or CLEC4M) directly recognize a wide range of micro-organisms of major impact on public health. Both genes have long been considered to share similar overall structure and ligand-binding characteristics. This review presents more recent biochemical and structural studies, which show that they have distinct ligand-binding properties and different physiological functions. Of importance in both these genes is the presence of an extra-cellular domain consisting of an extended neck region encoded by tandem repeats that support the carbohydrate-recognition domain, which plays a crucial role in influencing the pathogen-binding properties of these receptors. The notable difference between these two genes is in this extra-cellular domain. Whilst the tandem-neck-repeat region remains relatively constant size for DC-SIGN, there is considerable polymorphism for L-SIGN. Homo-oligomerization of the neck region of L-SIGN has been shown to be important for high-affinity ligand binding, and heterozygous expression of the polymorphic variants of L-SIGN in which neck lengths differ could thus affect ligand-binding affinity. Functional studies on the effect of this tandem-neck-repeat region on pathogen-binding, as well as genetic association studies for various infectious diseases and among different populations, are discussed. Worldwide demographic data of the tandem-neck-repeat region showing distinct differences in the neck-region allele and genotype distribution among different ethnic groups are presented. These findings support the neck region as an excellent candidate acting as a functional target for selective pressures exerted by pathogens.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Netherlands 1 <1%
France 1 <1%
South Africa 1 <1%
Canada 1 <1%
Mexico 1 <1%
Unknown 125 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Student > Master 23 17%
Researcher 22 17%
Student > Bachelor 8 6%
Other 8 6%
Other 16 12%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 30%
Biochemistry, Genetics and Molecular Biology 21 16%
Immunology and Microbiology 20 15%
Medicine and Dentistry 10 8%
Chemistry 5 4%
Other 9 7%
Unknown 27 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2020.
All research outputs
#4,696,096
of 22,786,087 outputs
Outputs from Journal of Molecular Medicine
#230
of 1,550 outputs
Outputs of similar age
#15,220
of 78,708 outputs
Outputs of similar age from Journal of Molecular Medicine
#4
of 18 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,550 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 76% 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 78,708 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 72% of its contemporaries.
We're also able to compare this research output to 18 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.