| Title |
Artificial Intelligence-Based Breast Cancer Diagnosis Using Ultrasound Images and Grid-Based Deep Feature Generator
|
|---|---|
| Published in |
International Journal of General Medicine, March 2022
|
| DOI | 10.2147/ijgm.s347491 |
| Pubmed ID | |
| Authors |
Haixia Liu, Guozhong Cui, Yi Luo, Yajie Guo, Lianli Zhao, Yueheng Wang, Abdulhamit Subasi, Sengul Dogan, Turker Tuncer |
X Demographics
The data shown below were collected from the profiles of 12 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 | 4 | 33% |
| United Kingdom | 2 | 17% |
| Chile | 1 | 8% |
| Spain | 1 | 8% |
| India | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 92% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 9% |
| Unspecified | 3 | 5% |
| Other | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Student > Master | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 31 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 18% |
| Engineering | 5 | 9% |
| Unspecified | 4 | 7% |
| Medicine and Dentistry | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 30 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 March 2022.
All research outputs
#6,641,357
of 25,082,430 outputs
Outputs from International Journal of General Medicine
#312
of 1,624 outputs
Outputs of similar age
#127,798
of 437,276 outputs
Outputs of similar age from International Journal of General Medicine
#19
of 149 outputs
Altmetric has tracked 25,082,430 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 80% 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 437,276 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 70% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.