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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, January 2023
|
| DOI | 10.1007/s11517-022-02746-2 |
| Pubmed ID | |
| Authors |
Tianmu Wang, Zhenguo Nie, Ruijing Wang, Qingfeng Xu, Hongshi Huang, Handing Xu, Fugui Xie, Xin-Jun Liu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 13 | 46% |
| Student > Doctoral Student | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Unknown | 10 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 13 | 46% |
| Computer Science | 3 | 11% |
| Psychology | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 32% |
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 01 February 2023.
All research outputs
#18,423,400
of 23,660,057 outputs
Outputs from Medical & Biological Engineering & Computing
#1,539
of 1,786 outputs
Outputs of similar age
#279,289
of 432,871 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#15
of 22 outputs
Altmetric has tracked 23,660,057 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,786 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 12th percentile – i.e., 12% 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 432,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.