| Title |
Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain
|
|---|---|
| Published in |
Visual Computing for Industry, Biomedicine, and Art, November 2019
|
| DOI | 10.1186/s42492-019-0029-2 |
| Pubmed ID | |
| Authors |
Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li, Yumei Huo |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Professor | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Engineering | 3 | 13% |
| Environmental Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 December 2022.
All research outputs
#5,342,420
of 25,387,668 outputs
Outputs from Visual Computing for Industry, Biomedicine, and Art
#9
of 48 outputs
Outputs of similar age
#118,140
of 471,660 outputs
Outputs of similar age from Visual Computing for Industry, Biomedicine, and Art
#1
of 3 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 2.9. This one scored the same or higher as 39 of them.
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 471,660 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 74% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them