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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-781 |
| Pubmed ID | |
| Authors |
Ju-Sheng Zheng, Chao-Qiang Lai, Laurence D Parnell, Yu-Chi Lee, Jian Shen, Caren E Smith, Patricia Casas-Agustench, Kris Richardson, Duo Li, Sabrina E Noel, Katherine L Tucker, Donna K Arnett, Ingrid B Borecki, José M Ordovás |
| Abstract |
Little is known about the interplay between n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level. The present study aimed to examine variance contributions of genotype by environment (GxE) interactions for different erythrocyte n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level in a non-Hispanic white population living in the U.S.A. (n = 820). A tool for Genome-wide Complex Trait Analysis (GCTA) was used to estimate the genome-wide GxE variance contribution of four diabetes-related traits: HOMA-Insulin Resistance (HOMA-IR), fasting plasma insulin, glucose and adiponectin. A GxE genome-wide association study (GWAS) was conducted to further elucidate the GCTA results. Replication was conducted in the participants of the Boston Puerto Rican Health Study (BPRHS) without diabetes (n = 716). |
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 % |
|---|---|---|
| Italy | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 28% |
| Researcher | 7 | 22% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Lecturer | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 28% |
| Agricultural and Biological Sciences | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Engineering | 3 | 9% |
| Computer Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 6 | 19% |
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 26 September 2014.
All research outputs
#15,306,466
of 22,764,165 outputs
Outputs from BMC Genomics
#6,678
of 10,638 outputs
Outputs of similar age
#138,180
of 238,988 outputs
Outputs of similar age from BMC Genomics
#117
of 202 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 238,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.