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Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO…

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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11 Dimensions

Readers on

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14 Mendeley
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Title
Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model
Published in
BMC Pediatrics, February 2023
DOI 10.1186/s12887-023-03896-4
Pubmed ID
Authors

Yaxue Xie, Hongshuo Shi, Bo Han

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Researcher 1 7%
Lecturer 1 7%
Unknown 10 71%
Readers by discipline Count As %
Nursing and Health Professions 1 7%
Computer Science 1 7%
Immunology and Microbiology 1 7%
Medicine and Dentistry 1 7%
Unknown 10 71%
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 02 March 2023.
All research outputs
#20,851,754
of 23,467,261 outputs
Outputs from BMC Pediatrics
#2,682
of 3,113 outputs
Outputs of similar age
#277,083
of 355,172 outputs
Outputs of similar age from BMC Pediatrics
#45
of 73 outputs
Altmetric has tracked 23,467,261 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 3,113 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 355,172 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 73 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.