| Title |
Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI
|
|---|---|
| Published in |
Insights into Imaging, November 2020
|
| DOI | 10.1186/s13244-020-00946-8 |
| Pubmed ID | |
| Authors |
Jie Ding, Peng Cao, Hing-Chiu Chang, Yuan Gao, Sophelia Hoi Shan Chan, Varut Vardhanabhuti |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 6 | 11% |
| Researcher | 5 | 9% |
| Unspecified | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 25 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 18% |
| Engineering | 4 | 7% |
| Unspecified | 4 | 7% |
| Computer Science | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 29 | 52% |
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 30 November 2020.
All research outputs
#21,699,788
of 24,217,893 outputs
Outputs from Insights into Imaging
#946
of 1,072 outputs
Outputs of similar age
#441,392
of 516,021 outputs
Outputs of similar age from Insights into Imaging
#28
of 31 outputs
Altmetric has tracked 24,217,893 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 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 516,021 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 31 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.