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The relationship between glycemic variability and diabetic peripheral neuropathy in type 2 diabetes with well-controlled HbA1c

Overview of attention for article published in Diabetology & Metabolic Syndrome, December 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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9 X users
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1 Facebook page

Citations

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115 Dimensions

Readers on

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106 Mendeley
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Title
The relationship between glycemic variability and diabetic peripheral neuropathy in type 2 diabetes with well-controlled HbA1c
Published in
Diabetology & Metabolic Syndrome, December 2014
DOI 10.1186/1758-5996-6-139
Pubmed ID
Authors

Feng Xu, Li-hua Zhao, Jian-bin Su, Tong Chen, Xue-qin Wang, Jin-feng Chen, Gang Wu, Yan Jin, Xiao-hua Wang

Abstract

Diabetic peripheral neuropathy (DPN) is one of the most common microvascular complications of diabetes. Glycemic variability could be an independent risk factor for diabetes complications in addition to average glucose. Type 2 diabetes with well-controlled glycosylated hemoglobin A1c (HbA1c) may have different terms of glycemic variability and vascular complication consequences. The aim of the study is to investigate the relationship between glycemic variability and DPN in type 2 diabetes with well-controlled HbA1c (HbA1c < 7.0%).

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Unknown 105 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 13%
Student > Master 13 12%
Student > Ph. D. Student 11 10%
Student > Postgraduate 10 9%
Student > Bachelor 9 8%
Other 23 22%
Unknown 26 25%
Readers by discipline Count As %
Medicine and Dentistry 39 37%
Nursing and Health Professions 11 10%
Biochemistry, Genetics and Molecular Biology 5 5%
Neuroscience 4 4%
Agricultural and Biological Sciences 3 3%
Other 10 9%
Unknown 34 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 December 2016.
All research outputs
#6,249,890
of 24,787,209 outputs
Outputs from Diabetology & Metabolic Syndrome
#185
of 763 outputs
Outputs of similar age
#78,533
of 365,502 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#7
of 19 outputs
Altmetric has tracked 24,787,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 763 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 75% of its peers.
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 365,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.