| Title |
Machine Learning Model Applied on Chest X-Ray Images Enables Automatic Detection of COVID-19 Cases with High Accuracy
|
|---|---|
| Published in |
International Journal of General Medicine, August 2021
|
| DOI | 10.2147/ijgm.s325609 |
| Pubmed ID | |
| Authors |
Yabsera Erdaw, Erdaw Tachbele |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Spain | 2 | 20% |
| Ukraine | 1 | 10% |
| Switzerland | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 13% |
| Student > Bachelor | 5 | 8% |
| Researcher | 4 | 6% |
| Student > Ph. D. Student | 3 | 5% |
| Lecturer > Senior Lecturer | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 38 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 11% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 4 | 6% |
| Nursing and Health Professions | 3 | 5% |
| Social Sciences | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 41 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 September 2021.
All research outputs
#6,803,150
of 24,833,726 outputs
Outputs from International Journal of General Medicine
#311
of 1,604 outputs
Outputs of similar age
#130,422
of 426,364 outputs
Outputs of similar age from International Journal of General Medicine
#26
of 157 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,604 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 80% of its peers.
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 426,364 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.