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Gene-environment interactions and obesity: recent developments and future directions

Overview of attention for article published in BMC Medical Genomics, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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4 X users
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1 Facebook page

Citations

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76 Dimensions

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170 Mendeley
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Title
Gene-environment interactions and obesity: recent developments and future directions
Published in
BMC Medical Genomics, January 2015
DOI 10.1186/1755-8794-8-s1-s2
Pubmed ID
Authors

Tao Huang, Frank B Hu

Abstract

Obesity, a major public health concern, is a multifactorial disease caused by both environmental and genetic factors. Although recent genome-wide association studies have identified many loci related to obesity or body mass index, the identified variants explain only a small proportion of the heritability of obesity. Better understanding of the interplay between genetic and environmental factors is the basis for developing effective personalized obesity prevention and management strategies. This article reviews recent advances in identifying gene-environment interactions related to obesity and describes epidemiological designs and newly developed statistical approaches to characterizing and discovering gene-environment interactions on obesity risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 1 <1%
Portugal 1 <1%
Unknown 166 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 17%
Student > Master 29 17%
Student > Bachelor 19 11%
Researcher 16 9%
Student > Doctoral Student 11 6%
Other 33 19%
Unknown 33 19%
Readers by discipline Count As %
Medicine and Dentistry 35 21%
Biochemistry, Genetics and Molecular Biology 27 16%
Agricultural and Biological Sciences 21 12%
Nursing and Health Professions 8 5%
Psychology 7 4%
Other 30 18%
Unknown 42 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 October 2016.
All research outputs
#12,726,260
of 22,796,179 outputs
Outputs from BMC Medical Genomics
#425
of 1,223 outputs
Outputs of similar age
#173,494
of 379,885 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 41 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 64% 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 379,885 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 53% of its contemporaries.
We're also able to compare this research output to 41 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 63% of its contemporaries.