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A comprehensive analysis of adiponectin QTLs using SNP association, SNP cis-effects on peripheral blood gene expression and gene expression correlation identified novel metabolic syndrome (MetS…

Overview of attention for article published in BMC Medical Genomics, April 2013
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Title
A comprehensive analysis of adiponectin QTLs using SNP association, SNP cis-effects on peripheral blood gene expression and gene expression correlation identified novel metabolic syndrome (MetS) genes with potential role in carcinogenesis and systemic inflammation
Published in
BMC Medical Genomics, April 2013
DOI 10.1186/1755-8794-6-14
Pubmed ID
Authors

Yi Zhang, Jack W Kent, Michael Olivier, Omar Ali, Diana Cerjak, Ulrich Broeckel, Reham M Abdou, Thomas D Dyer, Anthony Comuzzie, Joanne E Curran, Melanie A Carless, David L Rainwater, Harald H H Göring, John Blangero, Ahmed H Kissebah

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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
France 1 2%
Italy 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 9 18%
Student > Doctoral Student 6 12%
Professor 5 10%
Student > Bachelor 3 6%
Other 8 16%
Unknown 9 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 10 20%
Medicine and Dentistry 10 20%
Immunology and Microbiology 2 4%
Sports and Recreations 2 4%
Other 3 6%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 November 2015.
All research outputs
#18,430,915
of 22,833,393 outputs
Outputs from BMC Medical Genomics
#862
of 1,223 outputs
Outputs of similar age
#145,014
of 192,897 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 15 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 192,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.