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Construction of an integral formula of biological age for a healthy Chinese population using principle component analysis

Overview of attention for article published in The journal of nutrition, health & aging, February 2014
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Citations

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30 Mendeley
Title
Construction of an integral formula of biological age for a healthy Chinese population using principle component analysis
Published in
The journal of nutrition, health & aging, February 2014
DOI 10.1007/s12603-013-0345-8
Pubmed ID
Authors

W.-G. Zhang, X.-J. Bai, X.-F. Sun, G.-Y. Cai, X.-Y. Bai, S.-Y. Zhu, M. Zhang, Xiang-Mei Chen

Abstract

Whereas chronological age (CA) cannot distinguish functional differences among individuals of the same age, the biological age (BA) may be used to reflect the functional state of the body. The purpose of this study was to construct an integral formula of the BA, by using principle component analysis (PCA).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 3%
France 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 33%
Student > Doctoral Student 3 10%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Student > Bachelor 2 7%
Other 2 7%
Unknown 7 23%
Readers by discipline Count As %
Neuroscience 6 20%
Medicine and Dentistry 6 20%
Agricultural and Biological Sciences 6 20%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 9 30%
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 16 November 2014.
All research outputs
#23,084,818
of 25,728,855 outputs
Outputs from The journal of nutrition, health & aging
#1,871
of 2,003 outputs
Outputs of similar age
#284,872
of 324,555 outputs
Outputs of similar age from The journal of nutrition, health & aging
#30
of 34 outputs
Altmetric has tracked 25,728,855 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 2,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. 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 324,555 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 34 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.