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 |
Association of serum lipid components and obesity with genetic ancestry in an admixed population of elderly women
|
|---|---|
| Published in |
Genetics and Molecular Biology, July 2012
|
| DOI | 10.1590/s1415-47572012005000047 |
| Pubmed ID | |
| Authors |
Tulio C. Lins, Alause S. Pires, Roberta S. Paula, Clayton F. Moraes, Rodrigo G. Vieira, Lucy G. Vianna, Otávio T. Nobrega, Rinaldo W. Pereira |
| Abstract |
The prevalence of metabolic disorders varies among ethnic populations and these disorders represent a critical health care issue for elderly women. This study investigated the correlation between genetic ancestry and body composition, metabolic traits and clinical status in a sample of elderly women. Clinical, nutritional and anthropometric data were collected from 176 volunteers. Genetic ancestry was estimated using 23 ancestry-informative markers. Pearsons correlation test was used to examine the relationship between continuous variables and an independent samples t-test was used to compare the means of continuous traits within categorical variables. Overall ancestry was a combination of European (57.49%), Native American (25.78%) and African (16.73%). Significant correlations were found for European ancestry with body mass index (r = 0.165; p = 0.037) and obesity (mean difference (MD) = 5.3%; p = 0.042). African ancestry showed a significant correlation with LDL (r = 0.159, p = 0.035), VLDL (r = -0.185; p = 0.014), hypertriglyceridemia (MD = 6.4%; p = 0.003) and hyperlipidemia (MD = 4.8%; p = 0.026). Amerindian ancestry showed a significant correlation with triglyceride levels (r = 0.150; p = 0.047) and hypertriglyceridemia (MD = 4.5%; p = 0.039). These findings suggest that genetic admixture may influence the etiology of lipid metabolism-related diseases and obesity in elderly women. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 20% |
| Student > Bachelor | 7 | 17% |
| Librarian | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 17% |
| Agricultural and Biological Sciences | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 14 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 August 2012.
All research outputs
#8,185,927
of 25,371,288 outputs
Outputs from Genetics and Molecular Biology
#136
of 771 outputs
Outputs of similar age
#57,947
of 178,473 outputs
Outputs of similar age from Genetics and Molecular Biology
#1
of 22 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 771 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 178,473 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.