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Quantification of β-cell insulin secretory function using a graded glucose infusion with C-peptide deconvolution in dysmetabolic, and diabetic cynomolgus monkeys

Overview of attention for article published in Diabetology & Metabolic Syndrome, July 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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4 X users

Citations

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18 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Quantification of β-cell insulin secretory function using a graded glucose infusion with C-peptide deconvolution in dysmetabolic, and diabetic cynomolgus monkeys
Published in
Diabetology & Metabolic Syndrome, July 2013
DOI 10.1186/1758-5996-5-40
Pubmed ID
Authors

Xiaoli Wang, Barbara C Hansen, Da Shi, Yupeng Fang, Fenglai Du, Bingdi Wang, Yaxiong Michael Chen, Francine M Gregoire, Yi-Xin Jim Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 40%
Student > Master 3 15%
Researcher 3 15%
Student > Postgraduate 2 10%
Other 1 5%
Other 2 10%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Agricultural and Biological Sciences 4 20%
Neuroscience 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Unspecified 1 5%
Other 2 10%
Unknown 2 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 June 2017.
All research outputs
#13,143,905
of 22,912,409 outputs
Outputs from Diabetology & Metabolic Syndrome
#264
of 671 outputs
Outputs of similar age
#101,607
of 198,418 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#5
of 12 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 671 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 60% 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 198,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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 66% of its contemporaries.