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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mixed-UNet: Refined class activation mapping for weakly-supervised semantic segmentation with multi-scale inference
|
|---|---|
| Published in |
Frontiers in Computer Science, November 2022
|
| DOI | 10.3389/fcomp.2022.1036934 |
| Authors |
Yang Liu, Lijin Lian, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin |
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 % |
|---|---|---|
| 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Unspecified | 2 | 11% |
| Lecturer | 2 | 11% |
| Professor | 1 | 6% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 17% |
| Unspecified | 2 | 11% |
| Engineering | 2 | 11% |
| Neuroscience | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 50% |
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 08 November 2022.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Frontiers in Computer Science
#1
of 1 outputs
Outputs of similar age
#328,312
of 444,197 outputs
Outputs of similar age from Frontiers in Computer Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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 444,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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