| Title |
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation
|
|---|---|
| Published in |
Journal of Digital Imaging, November 2018
|
| DOI | 10.1007/s10278-018-0143-2 |
| Pubmed ID | |
| Authors |
Zongwei Zhou, Jae Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang |
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% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Lecturer | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 24% |
| Medicine and Dentistry | 8 | 12% |
| Engineering | 6 | 9% |
| Mathematics | 4 | 6% |
| Arts and Humanities | 2 | 3% |
| Other | 10 | 15% |
| Unknown | 22 | 32% |
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 05 March 2024.
All research outputs
#7,828,798
of 25,508,813 outputs
Outputs from Journal of Digital Imaging
#324
of 1,111 outputs
Outputs of similar age
#132,631
of 365,703 outputs
Outputs of similar age from Journal of Digital Imaging
#11
of 34 outputs
Altmetric has tracked 25,508,813 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 1,111 research outputs from this source. They receive a mean Attention Score of 4.8. 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 365,703 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 34 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 70% of its contemporaries.