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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
COVID-19 Identification System Using Transfer Learning Technique With Mobile-NetV2 and Chest X-Ray Images
|
|---|---|
| Published in |
Frontiers in Public Health, March 2022
|
| DOI | 10.3389/fpubh.2022.819156 |
| Pubmed ID | |
| Authors |
Mahmoud Ragab, Samah Alshehri, Gamil Abdel Azim, Hibah M. Aldawsari, Adeeb Noor, Jaber Alyami, S. Abdel-khalek |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Librarian | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 21% |
| Medicine and Dentistry | 3 | 16% |
| Unknown | 12 | 63% |
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 03 March 2022.
All research outputs
#22,253,032
of 24,833,726 outputs
Outputs from Frontiers in Public Health
#9,301
of 13,151 outputs
Outputs of similar age
#369,654
of 435,544 outputs
Outputs of similar age from Frontiers in Public Health
#683
of 967 outputs
Altmetric has tracked 24,833,726 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 13,151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 435,544 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 967 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.