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Development of a Nomogram for Predicting Very Low Bone Mineral Density (T-Scores <−3) in the Chinese Population

Overview of attention for article published in International Journal of General Medicine, February 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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7 Mendeley
Title
Development of a Nomogram for Predicting Very Low Bone Mineral Density (T-Scores <−3) in the Chinese Population
Published in
International Journal of General Medicine, February 2022
DOI 10.2147/ijgm.s348947
Pubmed ID
Authors

Yong-Fang Li, Qin-Yi Wang, Lu-Lu Xu, Chun Yue, Li Hu, Na Ding, Yan-Yi Yang, Xiao-Li Qu, Zhi-Feng Sheng

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 29%
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Medicine and Dentistry 3 43%
Social Sciences 1 14%
Nursing and Health Professions 1 14%
Unknown 2 29%
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 2022.
All research outputs
#18,607,615
of 23,049,027 outputs
Outputs from International Journal of General Medicine
#960
of 1,468 outputs
Outputs of similar age
#363,622
of 504,251 outputs
Outputs of similar age from International Journal of General Medicine
#97
of 158 outputs
Altmetric has tracked 23,049,027 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 1,468 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. 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 504,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.