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Genetic associations in community context: a mixed model approach identifies a functional variant in the RBP4 gene associated with HDL-C dyslipidemia

Overview of attention for article published in BMC Medical Genomics, November 2018
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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15 Mendeley
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Title
Genetic associations in community context: a mixed model approach identifies a functional variant in the RBP4 gene associated with HDL-C dyslipidemia
Published in
BMC Medical Genomics, November 2018
DOI 10.1186/s12881-018-0719-1
Pubmed ID
Authors

Erfan Aref-Eshghi, Oliver Hurley, Guang Sun, Alvin Simms, Marshall Godwin, Pauline Duke, Mehdee Araee, Masoud Mahdavian, Shabnam Asghari

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 20%
Student > Ph. D. Student 3 20%
Researcher 3 20%
Student > Master 2 13%
Professor 2 13%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 6 40%
Biochemistry, Genetics and Molecular Biology 2 13%
Social Sciences 2 13%
Arts and Humanities 1 7%
Economics, Econometrics and Finance 1 7%
Other 0 0%
Unknown 3 20%
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 23 May 2019.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#341,513
of 446,154 outputs
Outputs of similar age from BMC Medical Genomics
#39
of 51 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 17th percentile – i.e., 17% 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 446,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.