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Predicting the Risk of Incorrect Inhalation Technique in Patients with Chronic Airway Diseases by a New Predictive Nomogram

Overview of attention for article published in Journal of Asthma and Allergy, January 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

mendeley
3 Mendeley
Title
Predicting the Risk of Incorrect Inhalation Technique in Patients with Chronic Airway Diseases by a New Predictive Nomogram
Published in
Journal of Asthma and Allergy, January 2023
DOI 10.2147/jaa.s396694
Pubmed ID
Authors

Shubing Chen, Yongyi Peng, Beilan Shen, Liping Zhong, Zhongping Wu, Jinping Zheng, Yi Gao

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Medicine and Dentistry 1 33%
Unknown 2 67%
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 24 January 2023.
All research outputs
#20,741,488
of 23,340,595 outputs
Outputs from Journal of Asthma and Allergy
#421
of 467 outputs
Outputs of similar age
#335,924
of 425,731 outputs
Outputs of similar age from Journal of Asthma and Allergy
#20
of 26 outputs
Altmetric has tracked 23,340,595 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 467 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 425,731 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 26 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.