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A new category of autoinflammatory disease associated with NOD2 gene mutations

Overview of attention for article published in Arthritis Research & Therapy, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
6 X users
facebook
2 Facebook pages

Citations

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59 Dimensions

Readers on

mendeley
75 Mendeley
Title
A new category of autoinflammatory disease associated with NOD2 gene mutations
Published in
Arthritis Research & Therapy, September 2011
DOI 10.1186/ar3462
Pubmed ID
Authors

Qingping Yao, Lan Zhou, Philip Cusumano, Nilanjana Bose, Melissa Piliang, Bijal Jayakar, Le-Chu Su, Bo Shen

Abstract

Autoinflammatory diseases are characterized by seemingly unprovoked episodes of inflammation, without high titers of autoantibodies or antigen-specific T cells, and derive from genetic variants of the innate immune system. This study characterized a cohort of patients with similar phenotypes and nucleotide oligomerization domain 2 (NOD2) gene mutations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Germany 1 1%
Israel 1 1%
Italy 1 1%
Japan 1 1%
United States 1 1%
Unknown 68 91%

Demographic breakdown

Readers by professional status Count As %
Other 12 16%
Student > Ph. D. Student 12 16%
Researcher 11 15%
Student > Master 6 8%
Student > Postgraduate 5 7%
Other 14 19%
Unknown 15 20%
Readers by discipline Count As %
Medicine and Dentistry 37 49%
Agricultural and Biological Sciences 9 12%
Immunology and Microbiology 5 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Computer Science 1 1%
Other 6 8%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 May 2018.
All research outputs
#7,263,731
of 25,373,627 outputs
Outputs from Arthritis Research & Therapy
#1,500
of 3,381 outputs
Outputs of similar age
#40,466
of 137,127 outputs
Outputs of similar age from Arthritis Research & Therapy
#15
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 55% 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 137,127 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 70% of its contemporaries.
We're also able to compare this research output to 37 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 59% of its contemporaries.