| 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 150 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 22% |
| Researcher | 25 | 16% |
| Student > Master | 13 | 8% |
| Student > Doctoral Student | 13 | 8% |
| Student > Bachelor | 10 | 6% |
| Other | 29 | 19% |
| Unknown | 31 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 24% |
| Biochemistry, Genetics and Molecular Biology | 32 | 21% |
| Agricultural and Biological Sciences | 14 | 9% |
| Chemistry | 8 | 5% |
| Immunology and Microbiology | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 45 | 29% |
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
#2,200,451
of 26,017,215 outputs
Outputs from Diabetologia
#1,159
of 5,621 outputs
Outputs of similar age
#26,607
of 272,751 outputs
Outputs of similar age from Diabetologia
#16
of 62 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has done well, scoring higher than 78% 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 272,751 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 89% of its contemporaries.
We're also able to compare this research output to 62 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 74% of its contemporaries.