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Diabetes risk and amino acid profiles: cross-sectional and prospective analyses of ethnicity, amino acids and diabetes in a South Asian and European cohort from the SABRE (Southall And Brent REvisited…

Overview of attention for article published in Diabetologia, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
2 news outlets
twitter
1 tweeter

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
77 Mendeley
Title
Diabetes risk and amino acid profiles: cross-sectional and prospective analyses of ethnicity, amino acids and diabetes in a South Asian and European cohort from the SABRE (Southall And Brent REvisited) Study
Published in
Diabetologia, February 2015
DOI 10.1007/s00125-015-3517-8
Pubmed ID
Authors

Therese Tillin, Alun D. Hughes, Qin Wang, Peter Würtz, Mika Ala-Korpela, Naveed Sattar, Nita G. Forouhi, Ian F. Godsland, Sophie V. Eastwood, Paul M. McKeigue, Nish Chaturvedi

Abstract

South Asian individuals have an increased risk of diabetes compared with Europeans that is unexplained by obesity and traditional or established metabolic measures. Circulating amino acids (AAs) may provide additional explanatory insights. In a unique cohort of European and South Asian men, we compared cross-sectional associations between AAs, metabolic and obesity traits, and longitudinal associations with incident diabetes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United Kingdom 1 1%
Denmark 1 1%
Finland 1 1%
Netherlands 1 1%
Unknown 72 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 31%
Researcher 17 22%
Student > Master 8 10%
Unspecified 5 6%
Student > Bachelor 5 6%
Other 19 25%
Readers by discipline Count As %
Medicine and Dentistry 34 44%
Unspecified 12 16%
Agricultural and Biological Sciences 11 14%
Biochemistry, Genetics and Molecular Biology 11 14%
Chemistry 6 8%
Other 4 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 02 March 2015.
All research outputs
#774,126
of 12,225,951 outputs
Outputs from Diabetologia
#466
of 3,621 outputs
Outputs of similar age
#20,442
of 225,764 outputs
Outputs of similar age from Diabetologia
#15
of 79 outputs
Altmetric has tracked 12,225,951 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one has done well, scoring higher than 87% 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 225,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.