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A risk-predictive model for invasive pulmonary aspergillosis in patients with acute exacerbation of chronic obstructive pulmonary disease

Overview of attention for article published in Respiratory Research, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
A risk-predictive model for invasive pulmonary aspergillosis in patients with acute exacerbation of chronic obstructive pulmonary disease
Published in
Respiratory Research, June 2021
DOI 10.1186/s12931-021-01771-3
Pubmed ID
Authors

Gu, Yu, Ye, Xianping, Liu, Yuxiu, Wang, Yu, Shen, Kunlu, Zhong, Jinjin, Chen, Bilin, Su, Xin

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 > Postgraduate 1 14%
Unknown 6 86%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Medicine and Dentistry 1 14%
Unknown 5 71%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 June 2021.
All research outputs
#3,536,532
of 19,741,505 outputs
Outputs from Respiratory Research
#434
of 2,413 outputs
Outputs of similar age
#81,493
of 342,810 outputs
Outputs of similar age from Respiratory Research
#1
of 1 outputs
Altmetric has tracked 19,741,505 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 81% 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 342,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them