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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic segmentation of skeletal muscles from MR images using modified U-Net and a novel data augmentation approach
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, February 2024
|
| DOI | 10.3389/fbioe.2024.1355735 |
| Pubmed ID | |
| Authors |
Zhicheng Lin, William H. Henson, Lisa Dowling, Jennifer Walsh, Enrico Dall’Ara, Lingzhong Guo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 3 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 April 2024.
All research outputs
#6,648,959
of 26,289,377 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#962
of 8,703 outputs
Outputs of similar age
#89,802
of 355,250 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#15
of 379 outputs
Altmetric has tracked 26,289,377 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,703 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 88% 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 355,250 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 379 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.