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Use of Anthropometric Measures of Obesity to Predict Diabetic Retinopathy in Patients with Type 2 Diabetes in China

Overview of attention for article published in Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, September 2021
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Mentioned by

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1 X user

Citations

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Readers on

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11 Mendeley
Title
Use of Anthropometric Measures of Obesity to Predict Diabetic Retinopathy in Patients with Type 2 Diabetes in China
Published in
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, September 2021
DOI 10.2147/dmso.s321030
Pubmed ID
Authors

Qiu-Xue Yi, Li-Na Zhu, Jing Ma, Xin-Jie Yu, Lin Liu, Jie Shen

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 > Postgraduate 3 27%
Other 1 9%
Student > Master 1 9%
Unknown 6 55%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Unknown 7 64%
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 06 January 2023.
All research outputs
#17,534,407
of 25,707,225 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#614
of 1,189 outputs
Outputs of similar age
#265,854
of 435,536 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#21
of 39 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,189 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 33rd percentile – i.e., 33% 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 435,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.