| Title |
Task‐based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis
|
|---|---|
| Published in |
Magnetic Resonance in Medicine, April 2019
|
| DOI | 10.1002/mrm.27758 |
| Pubmed ID | |
| Authors |
Karl D. Spuhler, Jie Ding, Chunling Liu, Junqi Sun, Mario Serrano‐Sosa, Meghan Moriarty, Chuan Huang |
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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 16% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Lecturer | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 24 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 19% |
| Engineering | 8 | 13% |
| Computer Science | 7 | 11% |
| Physics and Astronomy | 4 | 6% |
| Nursing and Health Professions | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 26 | 41% |
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 09 April 2019.
All research outputs
#20,564,621
of 23,140,503 outputs
Outputs from Magnetic Resonance in Medicine
#6,086
of 6,861 outputs
Outputs of similar age
#302,662
of 352,672 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#61
of 86 outputs
Altmetric has tracked 23,140,503 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 6,861 research outputs from this source. They receive a mean Attention Score of 4.4. 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 352,672 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 86 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.