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Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study

Overview of attention for article published in BMC Genomic Data, May 2013
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Mentioned by

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2 X users

Citations

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26 Dimensions

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39 Mendeley
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Title
Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study
Published in
BMC Genomic Data, May 2013
DOI 10.1186/1471-2156-14-33
Pubmed ID
Authors

Kira C Taylor, Cara L Carty, Logan Dumitrescu, Petra Bůžková, Shelley A Cole, Lucia Hindorff, Fred R Schumacher, Lynne R Wilkens, Ralph V Shohet, P Miguel Quibrera, Karen C Johnson, Brian E Henderson, Jeff Haessler, Nora Franceschini, Charles B Eaton, David J Duggan, Barbara Cochran, Iona Cheng, Chris S Carlson, Kristin Brown-Gentry, Garnet Anderson, Jose Luis Ambite, Christopher Haiman, Loïc Le Marchand, Charles Kooperberg, Dana C Crawford, Steven Buyske, Kari E North, Myriam Fornage, for the PAGE Study

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 7 18%
Professor > Associate Professor 4 10%
Student > Bachelor 3 8%
Student > Master 3 8%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 31%
Biochemistry, Genetics and Molecular Biology 8 21%
Medicine and Dentistry 3 8%
Nursing and Health Professions 2 5%
Computer Science 2 5%
Other 4 10%
Unknown 8 21%
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 01 July 2014.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from BMC Genomic Data
#676
of 1,212 outputs
Outputs of similar age
#132,333
of 206,442 outputs
Outputs of similar age from BMC Genomic Data
#11
of 21 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,212 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 206,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.