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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Studies of association of AGPAT6variants with type 2 diabetes and related metabolic phenotypes in 12,068 Danes
|
|---|---|
| Published in |
BMC Medical Genomics, October 2013
|
| DOI | 10.1186/1471-2350-14-113 |
| Pubmed ID | |
| Authors |
Lena Sønder Snogdal, Niels Grarup, Karina Banasik, Mette Wod, Torben Jørgensen, Daniel R Witte, Torsten Lauritzen, Aneta A Nielsen, Ivan Brandslund, Cramer Christensen, Oluf Pedersen, Knud Yderstræde, Henning Beck-Nielsen, Jan Erik Henriksen, Torben Hansen, Kurt Højlund |
| Abstract |
Type 2 diabetes, obesity and insulin resistance are characterized by hypertriglyceridemia and ectopic accumulation of lipids in liver and skeletal muscle. AGPAT6 encodes a novel glycerol-3 phosphate acyltransferase, GPAT4, which catalyzes the first step in the de novo triglyceride synthesis. AGPAT6-deficient mice show lower weight and resistance to diet- and genetically induced obesity. Here, we examined whether common or low-frequency variants in AGPAT6 associate with type 2 diabetes or related metabolic traits in a Danish population. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Researcher | 3 | 11% |
| Professor > Associate Professor | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 6 | 22% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 33% |
| Agricultural and Biological Sciences | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Unspecified | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 8 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 October 2013.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#169,420
of 224,574 outputs
Outputs of similar age from BMC Medical Genomics
#29
of 42 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 224,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.