You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Common Genetic Variants Highlight the Role of Insulin Resistance and Body Fat Distribution in Type 2 Diabetes, Independent of Obesity
|
|---|---|
| Published in |
Diabetes, November 2014
|
| DOI | 10.2337/db14-0319 |
| Pubmed ID | |
| Authors |
Robert A. Scott, Tove Fall, Dorota Pasko, Adam Barker, Stephen J. Sharp, Larraitz Arriola, Beverley Balkau, Aurelio Barricarte, Inês Barroso, Heiner Boeing, Françoise Clavel-Chapelon, Francesca L. Crowe, Jacqueline M. Dekker, Guy Fagherazzi, Ele Ferrannini, Nita G. Forouhi, Paul W. Franks, Diana Gavrila, Vilmantas Giedraitis, Sara Grioni, Leif C. Groop, Rudolf Kaaks, Timothy J. Key, Tilman Kühn, Luca A. Lotta, Peter M. Nilsson, Kim Overvad, Domenico Palli, Salvatore Panico, J. Ramón Quirós, Olov Rolandsson, Nina Roswall, Carlotta Sacerdote, Núria Sala, María-José Sánchez, Matthias B. Schulze, Afshan Siddiq, Nadia Slimani, Ivonne Sluijs, Annemieke M.W. Spijkerman, Anne Tjonneland, Rosario Tumino, Daphne L. van der A, Hanieh Yaghootkar, The RISC Study Group, The EPIC-InterAct Consortium, Mark I. McCarthy, Robert K. Semple, Elio Riboli, Mark Walker, Erik Ingelsson, Tim M. Frayling, David B. Savage, Claudia Langenberg, Nicholas J. Wareham |
| Abstract |
We aimed to validate genetic variants as instruments for insulin resistance and secretion, to characterise their association with intermediate phenotypes, and to investigate their role in T2D risk among normal-weight, overweight and obese individuals.We investigated the association of genetic scores with euglycaemic-hyperinsulinaemic clamp- and OGTT-based measures of insulin resistance and secretion, and a range of metabolic measures in up to 18,565 individuals. We also studied their association with T2D risk among normal-weight, overweight and obese individuals in up to 8,124 incident T2D cases. The insulin resistance score was associated with lower insulin sensitivity measured by M/I value (β in SDs-per-allele [95%CI]:-0.03[-0.04,-0.01];p=0.004). This score was associated with lower BMI (-0.01[-0.01,-0.0;p=0.02) and gluteofemoral fat-mass : -0.03[-0.05,-0.02;p=1.4x10(-6)), and with higher ALT (0.02[0.01,0.03];p=0.002) and gamma-GT (0.02[0.01,0.03];p=0.001). While the secretion score had a stronger association with T2D in leaner individuals (pinteraction=0.001), we saw no difference in the association of the insulin resistance score with T2D among BMI- or waist-strata(pinteraction>0.31). While insulin resistance is often considered secondary to obesity, the association of the insulin resistance score with lower BMI and adiposity and with incident T2D even among individuals of normal weight highlights the role of insulin resistance and ectopic fat distribution in T2D, independently of body size. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 17% |
| Australia | 2 | 11% |
| United Kingdom | 2 | 11% |
| Brazil | 1 | 6% |
| Sweden | 1 | 6% |
| Canada | 1 | 6% |
| India | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Practitioners (doctors, other healthcare professionals) | 6 | 33% |
| Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| United States | 1 | <1% |
| Unknown | 179 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 26% |
| Student > Ph. D. Student | 31 | 17% |
| Other | 13 | 7% |
| Student > Master | 13 | 7% |
| Student > Postgraduate | 10 | 5% |
| Other | 34 | 19% |
| Unknown | 34 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 57 | 31% |
| Biochemistry, Genetics and Molecular Biology | 25 | 14% |
| Agricultural and Biological Sciences | 20 | 11% |
| Nursing and Health Professions | 15 | 8% |
| Psychology | 4 | 2% |
| Other | 19 | 10% |
| Unknown | 42 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 15 September 2021.
All research outputs
#2,050,733
of 25,837,817 outputs
Outputs from Diabetes
#851
of 9,921 outputs
Outputs of similar age
#22,862
of 274,112 outputs
Outputs of similar age from Diabetes
#29
of 169 outputs
Altmetric has tracked 25,837,817 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 9,921 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done particularly well, scoring higher than 90% 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 274,112 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 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.