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An integrated approach of comparative genomics and heritability analysis of pig and human on obesity trait: evidence for candidate genes on human chromosome 2

Overview of attention for article published in BMC Genomics, December 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
46 Mendeley
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1 CiteULike
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Title
An integrated approach of comparative genomics and heritability analysis of pig and human on obesity trait: evidence for candidate genes on human chromosome 2
Published in
BMC Genomics, December 2012
DOI 10.1186/1471-2164-13-711
Pubmed ID
Authors

Jaemin Kim, Taeheon Lee, Tae-Hun Kim, Kyung-Tai Lee, Heebal Kim

Abstract

Traditional candidate gene approach has been widely used for the study of complex diseases including obesity. However, this approach is largely limited by its dependence on existing knowledge of presumed biology of the phenotype under investigation. Our combined strategy of comparative genomics and chromosomal heritability estimate analysis of obesity traits, subscapular skinfold thickness and back-fat thickness in Korean cohorts and pig (Sus scrofa), may overcome the limitations of candidate gene analysis and allow us to better understand genetic predisposition to human obesity.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 20%
Student > Ph. D. Student 7 15%
Student > Master 6 13%
Researcher 5 11%
Professor > Associate Professor 3 7%
Other 5 11%
Unknown 11 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 35%
Biochemistry, Genetics and Molecular Biology 10 22%
Medicine and Dentistry 4 9%
Psychology 2 4%
Social Sciences 1 2%
Other 1 2%
Unknown 12 26%
Attention Score in Context

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 November 2014.
All research outputs
#7,355,485
of 25,371,288 outputs
Outputs from BMC Genomics
#3,109
of 11,244 outputs
Outputs of similar age
#72,358
of 288,477 outputs
Outputs of similar age from BMC Genomics
#60
of 205 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 69th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 70% 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 288,477 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 73% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.