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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images
|
|---|---|
| Published in |
BMC Medical Imaging, July 2022
|
| DOI | 10.1186/s12880-022-00861-y |
| Pubmed ID | |
| Authors |
Wei Wang, Yongbin Jiang, Xin Wang, Peng Zhang, Ji Li |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 15% |
| Lecturer | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 6 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 23% |
| Computer Science | 1 | 8% |
| Environmental Science | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 46% |
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 31 July 2022.
All research outputs
#16,412,027
of 24,176,645 outputs
Outputs from BMC Medical Imaging
#270
of 634 outputs
Outputs of similar age
#241,885
of 419,562 outputs
Outputs of similar age from BMC Medical Imaging
#9
of 27 outputs
Altmetric has tracked 24,176,645 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 634 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 45th percentile – i.e., 45% 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 419,562 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 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.