| Title |
Machine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study
|
|---|---|
| Published in |
Cancer Management and Research, April 2021
|
| DOI | 10.2147/cmar.s297794 |
| Pubmed ID | |
| Authors |
Ling Huo, Yao Tan, Shu Wang, Cuizhi Geng, Yi Li, XiangJun Ma, Bin Wang, YingJian He, Chen Yao, Tao Ouyang |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
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 % |
|---|---|---|
| Lecturer | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Unspecified | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 8 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 April 2021.
All research outputs
#13,830,240
of 23,885,338 outputs
Outputs from Cancer Management and Research
#471
of 2,014 outputs
Outputs of similar age
#199,256
of 428,057 outputs
Outputs of similar age from Cancer Management and Research
#21
of 115 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,014 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 76% 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 428,057 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 52% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.