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The successful search for genetic loci associated with depression

Overview of attention for article published in Genome Medicine, January 2015
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Mentioned by

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2 tweeters

Citations

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2 Dimensions

Readers on

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21 Mendeley
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1 CiteULike
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Title
The successful search for genetic loci associated with depression
Published in
Genome Medicine, January 2015
DOI 10.1186/s13073-015-0217-4
Pubmed ID
Authors

Margarita Rivera, Peter McGuffin

Abstract

Major depressive disorder is among the leading causes of disease burden and disability, as well as a major public health concern worldwide. Despite its substantial heritability, no robustly replicated genetic risk loci had been found until recently. Now, a new study has identified, and replicated, two variants associated with an increased risk for this disorder. The success of this study appears to lie in the use of low-coverage sequencing, instead of microarrays, and in minimizing phenotypic and genetic heterogeneity.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 29%
Student > Postgraduate 5 24%
Student > Bachelor 4 19%
Researcher 3 14%
Student > Doctoral Student 2 10%
Other 1 5%
Readers by discipline Count As %
Medicine and Dentistry 7 33%
Agricultural and Biological Sciences 5 24%
Psychology 4 19%
Biochemistry, Genetics and Molecular Biology 3 14%
Neuroscience 2 10%
Other 0 0%

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 28 August 2015.
All research outputs
#9,344,318
of 12,169,512 outputs
Outputs from Genome Medicine
#827
of 885 outputs
Outputs of similar age
#152,491
of 239,500 outputs
Outputs of similar age from Genome Medicine
#32
of 34 outputs
Altmetric has tracked 12,169,512 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 885 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one is in the 4th percentile – i.e., 4% 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 239,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.