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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation
|
|---|---|
| Published in |
IEEE Journal of Biomedical and Health Informatics, January 2023
|
| DOI | 10.1109/jbhi.2022.3162342 |
| Pubmed ID | |
| Authors |
Weiwei Cao, Gang Yuan, Qi Liu, Chengtao Peng, Jing Xie, Xiaodong Yang, Xinye Ni, Jian Zheng |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
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 | 5 | 28% |
| Researcher | 2 | 11% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 44% |
| Engineering | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 May 2022.
All research outputs
#2,149,412
of 25,392,582 outputs
Outputs from IEEE Journal of Biomedical and Health Informatics
#38
of 1,831 outputs
Outputs of similar age
#44,706
of 474,162 outputs
Outputs of similar age from IEEE Journal of Biomedical and Health Informatics
#3
of 55 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,831 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 474,162 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 55 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 94% of its contemporaries.