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X Demographics
Mendeley readers
Attention Score in Context
Title |
Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study
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Published in |
BMC Medical Genomics, January 2013
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 14% |
Poland | 1 | 14% |
Argentina | 1 | 14% |
United Kingdom | 1 | 14% |
Germany | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 43% |
Members of the public | 2 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
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
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.