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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 9% |
| Student > Postgraduate | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Student > Ph. D. Student | 5 | 5% |
| Student > Doctoral Student | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 64 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 14% |
| Computer Science | 7 | 7% |
| Engineering | 4 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Agricultural and Biological Sciences | 1 | <1% |
| Other | 8 | 8% |
| Unknown | 67 | 64% |
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
#15,680,078
of 23,301,510 outputs
Outputs from BioMedical Engineering OnLine
#432
of 834 outputs
Outputs of similar age
#260,619
of 426,857 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 14 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 834 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 35th percentile – i.e., 35% 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 426,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.