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Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients

Overview of attention for article published in Cancer Imaging, February 2019
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Mentioned by

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1 X user

Citations

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26 Dimensions

Readers on

mendeley
24 Mendeley
Title
Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients
Published in
Cancer Imaging, February 2019
DOI 10.1186/s40644-019-0191-y
Pubmed ID
Authors

Won Hwa Kim, Hye Jung Kim, So Mi Lee, Seung Hyun Cho, Kyung Min Shin, Sang Yub Lee, Jae Kwang Lim

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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 8%
Professor > Associate Professor 2 8%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Student > Master 1 4%
Other 3 13%
Unknown 14 58%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Computer Science 1 4%
Decision Sciences 1 4%
Sports and Recreations 1 4%
Unknown 17 71%
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 03 February 2019.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Cancer Imaging
#445
of 674 outputs
Outputs of similar age
#340,325
of 447,265 outputs
Outputs of similar age from Cancer Imaging
#10
of 12 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 10th percentile – i.e., 10% 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 447,265 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.