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Optimal Cutoffs for the Diagnosis of Sarcopenia in Older Chinese Adults

Overview of attention for article published in Frontiers in Nutrition, July 2022
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1 X user

Citations

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Title
Optimal Cutoffs for the Diagnosis of Sarcopenia in Older Chinese Adults
Published in
Frontiers in Nutrition, July 2022
DOI 10.3389/fnut.2022.853323
Pubmed ID
Authors

Sheng Ge, Qin Du, Xiaohui Feng, Yan Liu, Hui Wang, Shan Hai, Xiaodong Shi, Wenguang Sun, Aiqin Ma, Tingting Lv, Haili Liu, Venkata Saibaba Pinupa, Menaka Yalawar, Geraldine E. Baggs, Birong Dong, Wei Chen

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Unspecified 1 9%
Researcher 1 9%
Lecturer 1 9%
Unknown 6 55%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Unspecified 1 9%
Nursing and Health Professions 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Unknown 6 55%
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 24 July 2022.
All research outputs
#21,625,765
of 24,137,933 outputs
Outputs from Frontiers in Nutrition
#4,290
of 5,774 outputs
Outputs of similar age
#356,488
of 423,835 outputs
Outputs of similar age from Frontiers in Nutrition
#506
of 684 outputs
Altmetric has tracked 24,137,933 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 5,774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. 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 423,835 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 684 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.