| Title |
Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network
|
|---|---|
| Published in |
Journal of Digital Imaging, September 2019
|
| DOI | 10.1007/s10278-019-00281-5 |
| Pubmed ID | |
| Authors |
Robert J. Harris, Shwan Kim, Jerry Lohr, Steve Towey, Zeljko Velichkovich, Tim Kabachenko, Ian Driscoll, Brian Baker |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Netherlands | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Student > Doctoral Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 17 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Computer Science | 4 | 11% |
| Engineering | 4 | 11% |
| Unknown | 21 | 55% |
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 01 February 2024.
All research outputs
#7,735,714
of 25,323,244 outputs
Outputs from Journal of Digital Imaging
#323
of 1,123 outputs
Outputs of similar age
#125,193
of 347,708 outputs
Outputs of similar age from Journal of Digital Imaging
#9
of 18 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 70% 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 347,708 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 63% of its contemporaries.
We're also able to compare this research output to 18 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 55% of its contemporaries.