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A clinical prediction model for hospitalized COPD exacerbations based on “treatable traits”

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

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
facebook
1 Facebook page
video
1 YouTube creator

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
57 Mendeley
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Title
A clinical prediction model for hospitalized COPD exacerbations based on “treatable traits”
Published in
International Journal of Chronic Obstructive Pulmonary Disease, March 2019
DOI 10.2147/copd.s194922
Pubmed ID
Authors

Anthony C A Yii, CH Loh, PY Tiew, Huiying Xu, Aza A M Taha, Jansen Koh, Jessica Tan, Therese S Lapperre, Antonio Anzueto, Augustine K H Tee

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

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Other 8 14%
Researcher 6 11%
Student > Ph. D. Student 6 11%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 20 35%
Readers by discipline Count As %
Medicine and Dentistry 14 25%
Nursing and Health Professions 9 16%
Biochemistry, Genetics and Molecular Biology 3 5%
Computer Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 11%
Unknown 21 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 November 2021.
All research outputs
#7,051,839
of 25,385,509 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#793
of 2,578 outputs
Outputs of similar age
#127,373
of 367,999 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#16
of 41 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 71st 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 68% 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 367,999 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 65% of its contemporaries.
We're also able to compare this research output to 41 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.