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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A
|
|---|---|
| Published in |
BMC Cancer, October 2020
|
| DOI | 10.1186/s12885-020-07413-z |
| Pubmed ID | |
| Authors |
Sihua Niu, Jianhua Huang, Jia Li, Xueling Liu, Dan Wang, Ruifang Zhang, Yingyan Wang, Huiming Shen, Min Qi, Yi Xiao, Mengyao Guan, Haiyan Liu, Diancheng Li, Feifei Liu, Xiuming Wang, Yu Xiong, Siqi Gao, Xue Wang, Jiaan Zhu |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 4 | 12% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Master | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 20 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 15% |
| Medicine and Dentistry | 4 | 12% |
| Computer Science | 3 | 9% |
| Physics and Astronomy | 1 | 3% |
| Unknown | 20 | 61% |
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 04 October 2020.
All research outputs
#18,753,253
of 23,245,494 outputs
Outputs from BMC Cancer
#5,501
of 8,420 outputs
Outputs of similar age
#309,971
of 412,242 outputs
Outputs of similar age from BMC Cancer
#77
of 138 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,420 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 21st percentile – i.e., 21% 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 412,242 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 138 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.