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Classification of voluntary cough sound and airflow patterns for detecting abnormal pulmonary function

Overview of attention for article published in Cough, November 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
1 X user
patent
4 patents

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
59 Mendeley
citeulike
1 CiteULike
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Title
Classification of voluntary cough sound and airflow patterns for detecting abnormal pulmonary function
Published in
Cough, November 2009
DOI 10.1186/1745-9974-5-8
Pubmed ID
Authors

Ayman A Abaza, Jeremy B Day, Jeffrey S Reynolds, Ahmed M Mahmoud, W Travis Goldsmith, Walter G McKinney, E Lee Petsonk, David G Frazer

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

Geographical breakdown

Country Count As %
United States 2 3%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Student > Master 7 12%
Other 6 10%
Researcher 6 10%
Student > Postgraduate 3 5%
Other 9 15%
Unknown 16 27%
Readers by discipline Count As %
Engineering 14 24%
Medicine and Dentistry 12 20%
Computer Science 4 7%
Nursing and Health Professions 3 5%
Social Sciences 2 3%
Other 7 12%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 October 2021.
All research outputs
#7,661,040
of 24,609,626 outputs
Outputs from Cough
#26
of 62 outputs
Outputs of similar age
#48,659
of 175,554 outputs
Outputs of similar age from Cough
#5
of 5 outputs
Altmetric has tracked 24,609,626 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 62 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 175,554 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.