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Differentiating nontuberculous mycobacterium pulmonary disease from pulmonary tuberculosis through the analysis of the cavity features in CT images using radiomics

Overview of attention for article published in BMC Pulmonary Medicine, January 2022
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2 X users

Citations

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12 Dimensions

Readers on

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9 Mendeley
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Title
Differentiating nontuberculous mycobacterium pulmonary disease from pulmonary tuberculosis through the analysis of the cavity features in CT images using radiomics
Published in
BMC Pulmonary Medicine, January 2022
DOI 10.1186/s12890-021-01766-2
Pubmed ID
Authors

Qinghu Yan, Wuzhang Wang, Wenlong Zhao, Liping Zuo, Dongdong Wang, Xiangfei Chai, Jia Cui

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Professor 1 11%
Unspecified 1 11%
Lecturer 1 11%
Researcher 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Medicine and Dentistry 3 33%
Unspecified 1 11%
Immunology and Microbiology 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 3 33%
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 19 January 2022.
All research outputs
#18,504,575
of 22,925,760 outputs
Outputs from BMC Pulmonary Medicine
#1,396
of 1,938 outputs
Outputs of similar age
#361,048
of 501,831 outputs
Outputs of similar age from BMC Pulmonary Medicine
#50
of 77 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,938 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 17th percentile – i.e., 17% 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 501,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.