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Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients

Overview of attention for article published in PLOS ONE, October 2012
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1 Facebook page

Citations

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64 Dimensions

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80 Mendeley
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1 CiteULike
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Title
Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046229
Pubmed ID
Authors

Sandra Larson, Germán Comina, Robert H. Gilman, Brian H. Tracey, Marjory Bravard, José W. López

Abstract

A laboratory-free test for assessing recovery from pulmonary tuberculosis (TB) would be extremely beneficial in regions of the world where laboratory facilities are lacking. Our hypothesis is that analysis of cough sound recordings may provide such a test. In the current paper, we present validation of a cough analysis tool.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 21%
Student > Ph. D. Student 16 20%
Student > Master 10 13%
Other 7 9%
Professor 4 5%
Other 10 13%
Unknown 16 20%
Readers by discipline Count As %
Medicine and Dentistry 20 25%
Computer Science 9 11%
Engineering 9 11%
Agricultural and Biological Sciences 6 8%
Psychology 3 4%
Other 12 15%
Unknown 21 26%
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 17 October 2012.
All research outputs
#20,171,868
of 22,684,168 outputs
Outputs from PLOS ONE
#172,805
of 193,651 outputs
Outputs of similar age
#153,402
of 172,656 outputs
Outputs of similar age from PLOS ONE
#4,003
of 4,570 outputs
Altmetric has tracked 22,684,168 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 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 172,656 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 4,570 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.