| Title |
Hybrid Neural Networks for Mortality Prediction from LDCT Images
|
|---|---|
| Published in |
Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 2019
|
| DOI | 10.1109/embc.2019.8857180 |
| Pubmed ID | |
| Authors |
Pingkun Yan, Hengtao Guo, Ge Wang, Ruben De Man, Mannudeep K. Kalra |
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 % |
|---|---|---|
| Thailand | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Student > Doctoral Student | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 12 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 25% |
| Computer Science | 4 | 11% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 15 | 42% |
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 16 March 2023.
All research outputs
#7,189,758
of 25,490,562 outputs
Outputs from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#680
of 4,381 outputs
Outputs of similar age
#121,776
of 364,073 outputs
Outputs of similar age from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#47
of 312 outputs
Altmetric has tracked 25,490,562 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,381 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 84% 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 364,073 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 312 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.