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A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis

Overview of attention for article published in PLOS ONE, March 2019
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Mentioned by

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1 X user

Citations

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36 Dimensions

Readers on

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83 Mendeley
Title
A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis
Published in
PLOS ONE, March 2019
DOI 10.1371/journal.pone.0213292
Pubmed ID
Authors

Xia Jiang, Alan Wells, Adam Brufsky, Richard Neapolitan

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

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Student > Master 12 14%
Researcher 9 11%
Student > Bachelor 8 10%
Student > Doctoral Student 4 5%
Other 10 12%
Unknown 28 34%
Readers by discipline Count As %
Medicine and Dentistry 13 16%
Engineering 10 12%
Computer Science 8 10%
Biochemistry, Genetics and Molecular Biology 4 5%
Agricultural and Biological Sciences 3 4%
Other 14 17%
Unknown 31 37%
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 09 March 2019.
All research outputs
#18,670,143
of 23,132,033 outputs
Outputs from PLOS ONE
#157,575
of 197,452 outputs
Outputs of similar age
#266,479
of 351,768 outputs
Outputs of similar age from PLOS ONE
#2,435
of 3,041 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 197,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 10th percentile – i.e., 10% 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 351,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,041 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.