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Development of a nomogram prediction model for early identification of persistent coronary artery aneurysms in kawasaki disease

Overview of attention for article published in BMC Pediatrics, February 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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6 Mendeley
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Title
Development of a nomogram prediction model for early identification of persistent coronary artery aneurysms in kawasaki disease
Published in
BMC Pediatrics, February 2023
DOI 10.1186/s12887-023-03876-8
Pubmed ID
Authors

Xue Gong, Liting Tang, Mei Wu, Shuran Shao, Kaiyu Zhou, Yimin Hua, Chuan Wang, Yifei Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Bachelor 1 17%
Other 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 3 50%
Neuroscience 1 17%
Unknown 2 33%
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 26 February 2023.
All research outputs
#20,826,372
of 23,437,201 outputs
Outputs from BMC Pediatrics
#2,680
of 3,107 outputs
Outputs of similar age
#282,213
of 363,012 outputs
Outputs of similar age from BMC Pediatrics
#48
of 77 outputs
Altmetric has tracked 23,437,201 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 3,107 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 363,012 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 77 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.