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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

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
14 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

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Researcher 3 21%
Student > Master 3 21%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Other 1 7%
Readers by discipline Count As %
Medicine and Dentistry 6 43%
Agricultural and Biological Sciences 3 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 14%
Computer Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 0 0%
Unknown 1 7%

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
#7,514,776
of 14,350,170 outputs
Outputs from Diabetology & Metabolic Syndrome
#151
of 411 outputs
Outputs of similar age
#87,808
of 235,671 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#2
of 2 outputs
Altmetric has tracked 14,350,170 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 411 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 63% 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 235,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.