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Current review of genetics of human obesity: from molecular mechanisms to an evolutionary perspective

Overview of attention for article published in Molecular Genetics and Genomics, March 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 3,392)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
14 news outlets
blogs
3 blogs
policy
2 policy sources
twitter
1 X user
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
412 Mendeley
Title
Current review of genetics of human obesity: from molecular mechanisms to an evolutionary perspective
Published in
Molecular Genetics and Genomics, March 2015
DOI 10.1007/s00438-015-1015-9
Pubmed ID
Authors

David Albuquerque, Eric Stice, Raquel Rodríguez-López, Licíno Manco, Clévio Nóbrega

Abstract

It is well-known that obesity is a complex multifactorial and heterogeneous condition with an important genetic component. Recently, major advances in obesity research emerged concerning the molecular mechanisms contributing to the obese condition. This review outlines several studies and data concerning the genetics and other important factors in the susceptibility risk to develop obesity. Based in the genetic etiology three main categories of obesity are considered: monogenic, syndromic, and common obesity. For the monogenic forms of obesity, the gene causing the phenotype is clearly identified, whereas for the common obesity the loci architecture underlying the phenotype is still being characterized. Given that, in this review we focus mainly in this obesity form, reviewing loci found until now by genome-wide association studies related with the susceptibility risk to develop obesity. Moreover, we also detail the obesity-related loci identified in children and in different ethnic groups, trying to highlight the complexity of the genetics underlying the common obese phenotype. Importantly, we also focus in the evolutionary hypotheses that have been proposed trying to explain how natural selection favored the spread of genes that increase the risk for an obese phenotype and how this predisposition to obesity evolved. Other factors are important in the obesity condition, and thus, we also discuss the epigenetic mechanisms involved in the susceptibility and development of obesity. Covering all these topics we expect to provide a complete and recent perspective about the underlying mechanisms involved in the development and origin of obesity. Only with a full understanding of the factors and mechanisms contributing to obesity, it will be possible to provide and allow the development of new therapeutic approaches to this condition.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 412 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Portugal 1 <1%
Mexico 1 <1%
India 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 403 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 72 17%
Student > Master 67 16%
Student > Ph. D. Student 61 15%
Student > Doctoral Student 33 8%
Researcher 29 7%
Other 68 17%
Unknown 82 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 75 18%
Medicine and Dentistry 74 18%
Agricultural and Biological Sciences 70 17%
Nursing and Health Professions 21 5%
Psychology 15 4%
Other 57 14%
Unknown 100 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 134. 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 December 2020.
All research outputs
#315,627
of 26,017,215 outputs
Outputs from Molecular Genetics and Genomics
#3
of 3,392 outputs
Outputs of similar age
#3,576
of 277,926 outputs
Outputs of similar age from Molecular Genetics and Genomics
#1
of 42 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,392 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 99% 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 277,926 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 98% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.