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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetics of gene expression and its effect on disease
|
|---|---|
| Published in |
Nature, March 2008
|
| DOI | 10.1038/nature06758 |
| Pubmed ID | |
| Authors |
Valur Emilsson, Gudmar Thorleifsson, Bin Zhang, Amy S. Leonardson, Florian Zink, Jun Zhu, Sonia Carlson, Agnar Helgason, G. Bragi Walters, Steinunn Gunnarsdottir, Magali Mouy, Valgerdur Steinthorsdottir, Gudrun H. Eiriksdottir, Gyda Bjornsdottir, Inga Reynisdottir, Daniel Gudbjartsson, Anna Helgadottir, Aslaug Jonasdottir, Adalbjorg Jonasdottir, Unnur Styrkarsdottir, Solveig Gretarsdottir, Kristinn P. Magnusson, Hreinn Stefansson, Ragnheidur Fossdal, Kristleifur Kristjansson, Hjortur G. Gislason, Tryggvi Stefansson, Bjorn G. Leifsson, Unnur Thorsteinsdottir, John R. Lamb, Jeffrey R. Gulcher, Marc L. Reitman, Augustine Kong, Eric E. Schadt, Kari Stefansson |
| Abstract |
Common human diseases result from the interplay of many genes and environmental factors. Therefore, a more integrative biology approach is needed to unravel the complexity and causes of such diseases. To elucidate the complexity of common human diseases such as obesity, we have analysed the expression of 23,720 transcripts in large population-based blood and adipose tissue cohorts comprehensively assessed for various phenotypes, including traits related to clinical obesity. In contrast to the blood expression profiles, we observed a marked correlation between gene expression in adipose tissue and obesity-related traits. Genome-wide linkage and association mapping revealed a highly significant genetic component to gene expression traits, including a strong genetic effect of proximal (cis) signals, with 50% of the cis signals overlapping between the two tissues profiled. Here we demonstrate an extensive transcriptional network constructed from the human adipose data that exhibits significant overlap with similar network modules constructed from mouse adipose data. A core network module in humans and mice was identified that is enriched for genes involved in the inflammatory and immune response and has been found to be causally associated to obesity-related traits. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 53 | 5% |
| United Kingdom | 14 | 1% |
| Germany | 5 | <1% |
| China | 5 | <1% |
| Netherlands | 4 | <1% |
| Canada | 4 | <1% |
| Japan | 4 | <1% |
| Ireland | 3 | <1% |
| Brazil | 3 | <1% |
| Other | 18 | 2% |
| Unknown | 1063 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 332 | 28% |
| Student > Ph. D. Student | 296 | 25% |
| Professor > Associate Professor | 96 | 8% |
| Student > Master | 91 | 8% |
| Professor | 64 | 5% |
| Other | 179 | 15% |
| Unknown | 118 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 548 | 47% |
| Biochemistry, Genetics and Molecular Biology | 142 | 12% |
| Medicine and Dentistry | 125 | 11% |
| Computer Science | 64 | 5% |
| Mathematics | 22 | 2% |
| Other | 118 | 10% |
| Unknown | 157 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 08 August 2023.
All research outputs
#1,562,218
of 25,837,817 outputs
Outputs from Nature
#39,000
of 98,779 outputs
Outputs of similar age
#3,724
of 98,668 outputs
Outputs of similar age from Nature
#107
of 558 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has gotten more attention than average, scoring higher than 60% 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 98,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 558 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.