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Toll-Like Receptors, Associated Biological Roles, and Signaling Networks in Non-Mammals

Overview of attention for article published in Frontiers in immunology, July 2018
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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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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10 X users
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1 Wikipedia page
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1 YouTube creator

Citations

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231 Dimensions

Readers on

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323 Mendeley
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Title
Toll-Like Receptors, Associated Biological Roles, and Signaling Networks in Non-Mammals
Published in
Frontiers in immunology, July 2018
DOI 10.3389/fimmu.2018.01523
Pubmed ID
Authors

Li Nie, Shi-Yu Cai, Jian-Zhong Shao, Jiong Chen

Abstract

The innate immune system is the first line of defense against pathogens, which is initiated by the recognition of pathogen-associated molecular patterns (PAMPs) and endogenous damage-associated molecular patterns (DAMPs) by pattern recognition receptors (PRRs). Among all the PRRs identified, the toll-like receptors (TLRs) are the most ancient class, with the most extensive spectrum of pathogen recognition. Since the first discovery of Toll in Drosophila melanogaster, numerous TLRs have been identified across a wide range of invertebrate and vertebrate species. It seems that TLRs, the signaling pathways that they initiate, or related adaptor proteins are essentially conserved in a wide variety of organisms, from Porifera to mammals. Molecular structure analysis indicates that most TLR homologs share similar domain patterns and that some vital participants of TLR signaling co-evolved with TLRs themselves. However, functional specification and emergence of new signaling pathways, as well as adaptors, did occur during evolution. In addition, ambiguities and gaps in knowledge still exist regarding the TLR network, especially in lower organisms. Hence, a systematic review from the comparative angle regarding this tremendous signaling system and the scenario of evolutionary pattern across Animalia is needed. In the current review, we present overview and possible evolutionary patterns of TLRs in non-mammals, hoping that this will provide clues for further investigations in this field.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 323 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 323 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 14%
Student > Master 43 13%
Student > Bachelor 29 9%
Researcher 24 7%
Other 15 5%
Other 38 12%
Unknown 130 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 62 19%
Agricultural and Biological Sciences 35 11%
Immunology and Microbiology 26 8%
Medicine and Dentistry 12 4%
Pharmacology, Toxicology and Pharmaceutical Science 12 4%
Other 38 12%
Unknown 138 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 June 2022.
All research outputs
#5,073,357
of 26,304,916 outputs
Outputs from Frontiers in immunology
#5,683
of 32,933 outputs
Outputs of similar age
#87,961
of 344,894 outputs
Outputs of similar age from Frontiers in immunology
#175
of 728 outputs
Altmetric has tracked 26,304,916 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,933 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 82% 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 344,894 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 73% of its contemporaries.
We're also able to compare this research output to 728 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.