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Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A

Overview of attention for article published in BMC Cancer, October 2020
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Mentioned by

twitter
2 tweeters

Citations

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11 Dimensions

Readers on

mendeley
23 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 9%
Researcher 2 9%
Student > Postgraduate 2 9%
Student > Master 2 9%
Student > Doctoral Student 1 4%
Other 2 9%
Unknown 12 52%
Readers by discipline Count As %
Engineering 5 22%
Medicine and Dentistry 3 13%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Physics and Astronomy 1 4%
Other 0 0%
Unknown 12 52%

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
#15,217,651
of 19,012,843 outputs
Outputs from BMC Cancer
#4,357
of 6,882 outputs
Outputs of similar age
#240,304
of 323,154 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 19,012,843 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 6,882 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 22nd percentile – i.e., 22% 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 323,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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