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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Loci affecting gamma-glutamyl transferase in adults and adolescents show age × SNP interaction and cardiometabolic disease associations
|
|---|---|
| Published in |
Human Molecular Genetics, October 2011
|
| DOI | 10.1093/hmg/ddr478 |
| Pubmed ID | |
| Authors |
Rita P. Middelberg, Beben Benyamin, Marleen H.M. de Moor, Nicole M. Warrington, Scott Gordon, Anjali K. Henders, Sarah E. Medland, Dale R. Nyholt, Eco J.C. de Geus, Jouke J. Hottenga, Gonneke Willemsen, Lawrence J. Beilin, Trevor A. Mori, Margaret J. Wright, Andrew C. Heath, Pamela A.F. Madden, Dorret I. Boomsma, Craig E. Pennell, Grant W. Montgomery, Nicholas G. Martin, John B. Whitfield |
| Abstract |
Serum gamma-glutamyl transferase (GGT) activity is a marker of liver disease which is also prospectively associated with the risk of all-cause mortality, cardiovascular disease, type 2 diabetes and cancers. We have discovered novel loci affecting GGT in a genome-wide association study (rs1497406 in an intergenic region of chromosome 1, P = 3.9 × 10(-8); rs944002 in C14orf73 on chromosome 14, P = 4.7 × 10(-13); rs340005 in RORA on chromosome 15, P = 2.4 × 10(-8)), and a highly significant heterogeneity between adult and adolescent results at the GGT1 locus on chromosome 22 (maximum P(HET) = 5.6 × 10(-12) at rs6519520). Pathway analysis of significant and suggestive single-nucleotide polymorphism associations showed significant overlap between genes affecting GGT and those affecting common metabolic and inflammatory diseases, and identified the hepatic nuclear factor (HNF) family as controllers of a network of genes affecting GGT. Our results reinforce the disease associations of GGT and demonstrate that control by the GGT1 locus varies with age. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 28% |
| Student > Ph. D. Student | 7 | 15% |
| Professor | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Other | 1 | 2% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 26% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Agricultural and Biological Sciences | 5 | 11% |
| Psychology | 4 | 9% |
| Computer Science | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 14 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 October 2011.
All research outputs
#15,168,964
of 25,371,288 outputs
Outputs from Human Molecular Genetics
#6,374
of 8,251 outputs
Outputs of similar age
#94,796
of 150,846 outputs
Outputs of similar age from Human Molecular Genetics
#63
of 94 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,251 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 21st percentile – i.e., 21% 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 150,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.