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DALY trend and predictive analysis of COPD in China and its provinces: Findings from the global burden of disease study

Overview of attention for article published in Frontiers in Public Health, December 2022
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1 X user

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7 Mendeley
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Title
DALY trend and predictive analysis of COPD in China and its provinces: Findings from the global burden of disease study
Published in
Frontiers in Public Health, December 2022
DOI 10.3389/fpubh.2022.1046773
Pubmed ID
Authors

Mimi Zhai, Qin Jiang, Sushun Liu, Jianhai Long, Dan Zhang, Chutong Ren, Yi Gong, Yamin Li

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Lecturer 1 14%
Unspecified 1 14%
Unknown 3 43%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Nursing and Health Professions 1 14%
Unspecified 1 14%
Unknown 3 43%
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 December 2022.
All research outputs
#20,802,848
of 23,408,972 outputs
Outputs from Frontiers in Public Health
#8,052
of 10,994 outputs
Outputs of similar age
#343,073
of 433,478 outputs
Outputs of similar age from Frontiers in Public Health
#770
of 1,321 outputs
Altmetric has tracked 23,408,972 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 10,994 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. 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 433,478 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 1,321 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.