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Evaluation of lung involvement in COVID-19 pneumonia based on ultrasound images

Overview of attention for article published in BioMedical Engineering OnLine, March 2021
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
21 Mendeley
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Title
Evaluation of lung involvement in COVID-19 pneumonia based on ultrasound images
Published in
BioMedical Engineering OnLine, March 2021
DOI 10.1186/s12938-021-00863-x
Pubmed ID
Authors

Zhaoyu Hu, Zhenhua Liu, Yijie Dong, Jianjian Liu, Bin Huang, Aihua Liu, Jingjing Huang, Xujuan Pu, Xia Shi, Jinhua Yu, Yang Xiao, Hui Zhang, Jianqiao Zhou

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 14%
Student > Ph. D. Student 3 14%
Researcher 2 10%
Student > Master 2 10%
Student > Bachelor 2 10%
Other 3 14%
Unknown 6 29%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Computer Science 4 19%
Social Sciences 2 10%
Immunology and Microbiology 1 5%
Nursing and Health Professions 1 5%
Other 1 5%
Unknown 7 33%

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 04 April 2021.
All research outputs
#15,578,439
of 17,625,695 outputs
Outputs from BioMedical Engineering OnLine
#585
of 712 outputs
Outputs of similar age
#210,130
of 260,849 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 1 outputs
Altmetric has tracked 17,625,695 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 712 research outputs from this source. They receive a mean Attention Score of 3.5. 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 260,849 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 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