| Title |
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, July 2019
|
| DOI | 10.1186/s13640-019-0467-y |
| Authors |
Saleh Baghersalimi, Behzad Bozorgtabar, Philippe Schmid-Saugeon, Hazım Kemal Ekenel, Jean-Philippe Thiran |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Student > Bachelor | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 4 | 11% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 26% |
| Engineering | 9 | 24% |
| Unspecified | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 42% |
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 19 July 2019.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from EURASIP Journal on Image and Video Processing
#142
of 233 outputs
Outputs of similar age
#228,599
of 359,968 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#1
of 2 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 33rd percentile – i.e., 33% 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 359,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them