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Toll-Like Receptors (TLRs) and Innate Immunity

Overview of attention for book
Attention for Chapter 5: Fungal Recognition by TLR2 and Dectin-1
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63 Mendeley
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Chapter title
Fungal Recognition by TLR2 and Dectin-1
Chapter number 5
Book title
Toll-Like Receptors (TLRs) and Innate Immunity
Published in
Handbook of experimental pharmacology, January 2008
DOI 10.1007/978-3-540-72167-3_5
Pubmed ID
Book ISBNs
978-3-54-072166-6, 978-3-54-072167-3
Authors

Helen S. Goodridge, David M. Underhill, Goodridge, Helen S., Underhill, David M.

Abstract

The innate immune system utilizes multiple receptors to recognize fungal pathogens, and the net inflammatory response is controlled by interactions between these receptors. Many fungi are recognized, at least in part, by Toll-like receptor 2 (TLR2) and Dectin-1. Examination of the roles these receptors play together and on their own is a useful model for understanding the interplay between innate immune receptors. This review focuses on the role(s) of TLR2 and Dectin-1 in triggering inflammatory responses, transcription factor activation, phagocytosis, and reactive oxygen production in response to fungi.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Brazil 1 2%
India 1 2%
United Kingdom 1 2%
Belgium 1 2%
Denmark 1 2%
United States 1 2%
Unknown 56 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 10 16%
Researcher 8 13%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 9 14%
Unknown 11 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 37%
Biochemistry, Genetics and Molecular Biology 14 22%
Immunology and Microbiology 5 8%
Medicine and Dentistry 4 6%
Social Sciences 1 2%
Other 3 5%
Unknown 13 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 September 2020.
All research outputs
#20,474,896
of 23,035,022 outputs
Outputs from Handbook of experimental pharmacology
#573
of 647 outputs
Outputs of similar age
#152,337
of 157,114 outputs
Outputs of similar age from Handbook of experimental pharmacology
#15
of 16 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 647 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 157,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.