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Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography

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

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1 X user

Citations

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10 Dimensions

Readers on

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22 Mendeley
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Title
Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography
Published in
BMC Medical Imaging, August 2022
DOI 10.1186/s12880-022-00868-5
Pubmed ID
Authors

Qianrong Xie, Yue Chen, Yimei Hu, Fanwei Zeng, Pingxi Wang, Lin Xu, Jianhong Wu, Jie Li, Jing Zhu, Ming Xiang, Fanxin Zeng

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Lecturer 2 9%
Student > Ph. D. Student 2 9%
Student > Doctoral Student 1 5%
Unspecified 1 5%
Other 1 5%
Unknown 12 55%
Readers by discipline Count As %
Medicine and Dentistry 4 18%
Computer Science 3 14%
Nursing and Health Professions 1 5%
Arts and Humanities 1 5%
Physics and Astronomy 1 5%
Other 1 5%
Unknown 11 50%
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 14 August 2022.
All research outputs
#20,742,744
of 23,344,526 outputs
Outputs from BMC Medical Imaging
#460
of 614 outputs
Outputs of similar age
#345,053
of 434,323 outputs
Outputs of similar age from BMC Medical Imaging
#21
of 30 outputs
Altmetric has tracked 23,344,526 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 614 research outputs from this source. They receive a mean Attention Score of 2.1. 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 434,323 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 30 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.