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Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer

Overview of attention for article published in BMC Cancer, August 2022
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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13 Mendeley
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Title
Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer
Published in
BMC Cancer, August 2022
DOI 10.1186/s12885-022-10034-3
Pubmed ID
Authors

Qiucheng Wang, Bo Li, Zhao Liu, Haitao Shang, Hui Jing, Hua Shao, Kexin Chen, Xiaoshuan Liang, Wen Cheng

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 15%
Student > Master 1 8%
Student > Doctoral Student 1 8%
Unknown 9 69%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Computer Science 1 8%
Social Sciences 1 8%
Unknown 10 77%
Attention Score in Context

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 29 August 2022.
All research outputs
#20,613,214
of 23,202,641 outputs
Outputs from BMC Cancer
#6,574
of 8,417 outputs
Outputs of similar age
#343,127
of 432,711 outputs
Outputs of similar age from BMC Cancer
#148
of 242 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,417 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 432,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.