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X Demographics
Mendeley readers
Attention Score in Context
| Title |
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning
|
|---|---|
| Published in |
Frontiers in Medicine, March 2022
|
| DOI | 10.3389/fmed.2021.729287 |
| Pubmed ID | |
| Authors |
Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong |
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 % |
|---|---|---|
| Netherlands | 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Researcher | 7 | 9% |
| Student > Master | 6 | 7% |
| Student > Postgraduate | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 41 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 22% |
| Medicine and Dentistry | 6 | 7% |
| Engineering | 6 | 7% |
| Unspecified | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 43 | 52% |
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 April 2022.
All research outputs
#20,867,287
of 23,482,849 outputs
Outputs from Frontiers in Medicine
#5,262
of 6,037 outputs
Outputs of similar age
#361,289
of 441,007 outputs
Outputs of similar age from Frontiers in Medicine
#510
of 612 outputs
Altmetric has tracked 23,482,849 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 6,037 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. 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 441,007 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 612 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.