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A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children

Overview of attention for article published in Journal of Medical Systems, March 2009
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Mentioned by

twitter
1 tweeter

Citations

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22 Dimensions

Readers on

mendeley
40 Mendeley
Title
A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children
Published in
Journal of Medical Systems, March 2009
DOI 10.1007/s10916-009-9268-7
Pubmed ID
Authors

Ken Farion, Wojtek Michalowski, Szymon Wilk, Dympna O’Sullivan, Stan Matwin

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 6 15%
Unspecified 5 13%
Student > Ph. D. Student 5 13%
Student > Master 4 10%
Other 4 10%
Other 16 40%
Readers by discipline Count As %
Medicine and Dentistry 17 43%
Unspecified 6 15%
Computer Science 5 13%
Engineering 4 10%
Mathematics 2 5%
Other 6 15%

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 19 January 2016.
All research outputs
#6,002,044
of 6,992,211 outputs
Outputs from Journal of Medical Systems
#287
of 374 outputs
Outputs of similar age
#219,202
of 264,824 outputs
Outputs of similar age from Journal of Medical Systems
#24
of 29 outputs
Altmetric has tracked 6,992,211 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 374 research outputs from this source. They receive a mean Attention Score of 2.2. 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 264,824 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 29 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.