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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Blood Informative Transcripts in Geographical Genomics: Impact of Lifestyle on Gene Expression in Fijians
|
|---|---|
| Published in |
Frontiers in Genetics, January 2012
|
| DOI | 10.3389/fgene.2012.00243 |
| Pubmed ID | |
| Authors |
Artika Praveeta Nath, Dalia Arafat, Greg Gibson |
| Abstract |
In previous geographical genomics studies of the impact of lifestyle on gene expression inferred from microarray analysis of peripheral blood samples, we described the complex influences of culture, ethnicity, and gender in Morocco, and of pregnancy in Brisbane. Here we describe the use of nanofluidic Fluidigm quantitative RT-PCR arrays targeted at a set of 96 transcripts that are broadly informative of the major axes of immune gene expression, to explore the population structure of transcription in Fiji. As in Morocco, major differences are seen between the peripheral blood transcriptomes of rural villagers and residents of the capital city, Suva. The effect is much greater in Indian villages than in Melanesian highlanders and appears to be similar with respect to the nature of at least two axes of variation. Gender differences are much smaller than ethnicity or lifestyle effects. Body mass index is shown to associate with one of the axes as it does in Atlanta and Brisbane, establishing a link between the epidemiological transition of human metabolic disease, and gene expression profiles. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Researcher | 3 | 15% |
| Student > Doctoral Student | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 25% |
| Social Sciences | 4 | 20% |
| Medicine and Dentistry | 2 | 10% |
| Engineering | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
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 09 November 2012.
All research outputs
#20,172,971
of 22,685,926 outputs
Outputs from Frontiers in Genetics
#8,517
of 11,750 outputs
Outputs of similar age
#221,205
of 244,123 outputs
Outputs of similar age from Frontiers in Genetics
#195
of 255 outputs
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So far Altmetric has tracked 11,750 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.