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How Should We Classify Kawasaki Disease?

Overview of attention for article published in Frontiers in immunology, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
20 X users
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
67 Mendeley
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Title
How Should We Classify Kawasaki Disease?
Published in
Frontiers in immunology, December 2018
DOI 10.3389/fimmu.2018.02974
Pubmed ID
Authors

Edoardo Marrani, Jane C. Burns, Rolando Cimaz

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Other 9 13%
Student > Master 8 12%
Student > Bachelor 8 12%
Researcher 5 7%
Student > Postgraduate 4 6%
Other 10 15%
Unknown 23 34%
Readers by discipline Count As %
Medicine and Dentistry 25 37%
Nursing and Health Professions 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Psychology 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 4 6%
Unknown 25 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 27 February 2024.
All research outputs
#2,320,059
of 25,736,439 outputs
Outputs from Frontiers in immunology
#2,278
of 32,294 outputs
Outputs of similar age
#50,987
of 447,090 outputs
Outputs of similar age from Frontiers in immunology
#52
of 618 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,294 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 92% 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 447,090 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 88% of its contemporaries.
We're also able to compare this research output to 618 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 91% of its contemporaries.