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Prediction of first acute exacerbation using COPD subtypes identified by cluster analysis

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
9 X users
facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
52 Mendeley
Title
Prediction of first acute exacerbation using COPD subtypes identified by cluster analysis
Published in
International Journal of Chronic Obstructive Pulmonary Disease, June 2019
DOI 10.2147/copd.s205517
Pubmed ID
Authors

Hee-Young Yoon, So Young Park, Chang Hoon Lee, Min-Kwang Byun, Joo Ock Na, Jae Seung Lee, Won-Yeon Lee, Kwang Ha Yoo, Ki-Suck Jung, Jin Hwa Lee

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Researcher 6 12%
Student > Bachelor 5 10%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 18 35%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Nursing and Health Professions 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Environmental Science 2 4%
Other 3 6%
Unknown 20 38%
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 14 August 2019.
All research outputs
#7,782,070
of 25,385,509 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#916
of 2,578 outputs
Outputs of similar age
#131,614
of 363,722 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#22
of 55 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 63% 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 363,722 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 63% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.