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Identification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine model

Overview of attention for article published in BMC Medical Genomics, September 2014
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
167 Mendeley
citeulike
1 CiteULike
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Title
Identification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine model
Published in
BMC Medical Genomics, September 2014
DOI 10.1186/1755-8794-7-57
Pubmed ID
Authors

Lisette J A Kogelman, Susanna Cirera, Daria V Zhernakova, Merete Fredholm, Lude Franke, Haja N Kadarmideen

Abstract

Obesity is a complex metabolic condition in strong association with various diseases, like type 2 diabetes, resulting in major public health and economic implications. Obesity is the result of environmental and genetic factors and their interactions, including genome-wide genetic interactions. Identification of co-expressed and regulatory genes in RNA extracted from relevant tissues representing lean and obese individuals provides an entry point for the identification of genes and pathways of importance to the development of obesity. The pig, an omnivorous animal, is an excellent model for human obesity, offering the possibility to study in-depth organ-level transcriptomic regulations of obesity, unfeasible in humans. Our aim was to reveal adipose tissue co-expression networks, pathways and transcriptional regulations of obesity using RNA Sequencing based systems biology approaches in a porcine model.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
France 1 <1%
Brazil 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Sri Lanka 1 <1%
Unknown 161 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 24%
Researcher 23 14%
Student > Bachelor 23 14%
Student > Master 21 13%
Student > Postgraduate 8 5%
Other 23 14%
Unknown 29 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 31%
Biochemistry, Genetics and Molecular Biology 33 20%
Medicine and Dentistry 15 9%
Engineering 6 4%
Computer Science 6 4%
Other 23 14%
Unknown 32 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 February 2024.
All research outputs
#6,498,682
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#429
of 2,444 outputs
Outputs of similar age
#63,975
of 264,678 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 28 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. 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 264,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.