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Mendeley readers
Attention Score in Context
| Title |
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images
|
|---|---|
| Published in |
Frontiers in Medicine, December 2020
|
| DOI | 10.3389/fmed.2020.608525 |
| Pubmed ID | |
| Authors |
Hayden Gunraj, Linda Wang, Alexander Wong |
Mendeley readers
The data shown below were compiled from readership statistics for 761 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 761 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 94 | 12% |
| Student > Master | 94 | 12% |
| Researcher | 74 | 10% |
| Student > Bachelor | 74 | 10% |
| Student > Doctoral Student | 40 | 5% |
| Other | 137 | 18% |
| Unknown | 248 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 227 | 30% |
| Engineering | 97 | 13% |
| Medicine and Dentistry | 41 | 5% |
| Business, Management and Accounting | 12 | 2% |
| Agricultural and Biological Sciences | 11 | 1% |
| Other | 82 | 11% |
| Unknown | 291 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 January 2021.
All research outputs
#6,576,731
of 23,274,744 outputs
Outputs from Frontiers in Medicine
#1,534
of 5,950 outputs
Outputs of similar age
#162,802
of 504,500 outputs
Outputs of similar age from Frontiers in Medicine
#91
of 271 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 73% 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 504,500 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 66% of its contemporaries.
We're also able to compare this research output to 271 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 64% of its contemporaries.