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Mendeley readers
Attention Score in Context
Title |
EfficientNet family U-Net models for deep learning semantic segmentation of kidney tumors on CT images
|
---|---|
Published in |
Frontiers in Computer Science, September 2023
|
DOI | 10.3389/fcomp.2023.1235622 |
Authors |
Abubaker Abdelrahman, Serestina Viriri |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 20% |
Lecturer | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Unknown | 10 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 13% |
Mathematics | 2 | 13% |
Environmental Science | 1 | 7% |
Unknown | 10 | 67% |
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 07 September 2023.
All research outputs
#23,884,881
of 26,586,231 outputs
Outputs from Frontiers in Computer Science
#546
of 591 outputs
Outputs of similar age
#309,597
of 365,808 outputs
Outputs of similar age from Frontiers in Computer Science
#29
of 42 outputs
Altmetric has tracked 26,586,231 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 591 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 365,808 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 42 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.