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Anti-IL-33 Antibody Has a Therapeutic Effect in an Atopic Dermatitis Murine Model Induced by 2, 4-Dinitrochlorobenzene

Overview of attention for article published in Inflammation, September 2017
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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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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2 patents
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Citations

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51 Mendeley
Title
Anti-IL-33 Antibody Has a Therapeutic Effect in an Atopic Dermatitis Murine Model Induced by 2, 4-Dinitrochlorobenzene
Published in
Inflammation, September 2017
DOI 10.1007/s10753-017-0673-7
Pubmed ID
Authors

Ge Peng, Zhenzhen Mu, Lixia Cui, Pengyue Liu, Ying Wang, Wenqing Wu, Xiuping Han

Abstract

IL-33 is a new member of the IL-1 family that plays a role in allergic disease. In this study, we evaluated the potential on the inhibition of atopic dermatitis (AD) of anti-mouse IL-33 antibody (αIL-33Ab) using 2, 4-dinitrochlorobenzene (DNCB)-induced AD mice model. We treated mice with αIL-33Ab via subcutaneous injection of each DNCB treatment 1 h later from day 1 to day 33 for 14 times. A control group received tacrolimus. Skin lesion and scratching behavior were compared. Ear thickness, dermatitis score, eosinophils and mast cells infiltration, and serum IgE levels were also analyzed. Correlations between serum IL-33 as well as soluble(s) ST2 and AD disease activity index in human AD were also investigated. DNCB-induced AD-like mice treated with αIL-33Ab showed improved AD-like symptoms. Eosinophils and mast cells infiltration and serum IgE levels were also significantly reduced by αIL-33Ab. Our study suggests that blockade of IL-33 has a curative effect on AD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Student > Master 7 14%
Researcher 7 14%
Student > Postgraduate 4 8%
Student > Bachelor 4 8%
Other 8 16%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 6 12%
Agricultural and Biological Sciences 5 10%
Unspecified 3 6%
Other 7 14%
Unknown 12 24%
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 17 November 2020.
All research outputs
#4,223,638
of 23,018,998 outputs
Outputs from Inflammation
#66
of 1,060 outputs
Outputs of similar age
#75,699
of 320,399 outputs
Outputs of similar age from Inflammation
#2
of 22 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,060 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 93% 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 320,399 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 75% of its contemporaries.
We're also able to compare this research output to 22 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.