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Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study

Overview of attention for article published in BMC Medical Genomics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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7 X users

Citations

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19 Dimensions

Readers on

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57 Mendeley
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Title
Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study
Published in
BMC Medical Genomics, January 2013
DOI 10.1186/1471-2350-14-6
Pubmed ID
Authors

Megan D Fesinmeyer, Kari E North, Unhee Lim, Petra Bůžková, Dana C Crawford, Jeffrey Haessler, Myron D Gross, Jay H Fowke, Robert Goodloe, Shelley-Ann Love, Misa Graff, Christopher S Carlson, Lewis H Kuller, Tara C Matise, Ching-Ping Hong, Brian E Henderson, Melissa Allen, Rebecca R Rohde, Ping Mayo, Nathalie Schnetz-Boutaud, Kristine R Monroe, Marylyn D Ritchie, Ross L Prentice, Lawrence N Kolonel, JoAnn E Manson, James Pankow, Lucia A Hindorff, Nora Franceschini, Lynne R Wilkens, Christopher A Haiman, Loic Le Marchand, Ulrike Peters

Abstract

Although smoking behavior is known to affect body mass index (BMI), the potential for smoking to influence genetic associations with BMI is largely unexplored.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Algeria 1 2%
Portugal 1 2%
South Africa 1 2%
Unknown 53 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Ph. D. Student 7 12%
Student > Master 7 12%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Other 13 23%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 25%
Medicine and Dentistry 12 21%
Social Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Nursing and Health Professions 3 5%
Other 6 11%
Unknown 13 23%
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 15 April 2013.
All research outputs
#7,778,071
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#538
of 2,444 outputs
Outputs of similar age
#78,405
of 290,080 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 40 outputs
Altmetric has tracked 25,373,627 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 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 290,080 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 72% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.