↓ Skip to main content

Estimating the Genetic Variance of Major Depressive Disorder Due to All Single Nucleotide Polymorphisms

Overview of attention for article published in Biological Psychiatry, April 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
123 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Estimating the Genetic Variance of Major Depressive Disorder Due to All Single Nucleotide Polymorphisms
Published in
Biological Psychiatry, April 2012
DOI 10.1016/j.biopsych.2012.03.011
Pubmed ID
Authors

Gitta H. Lubke, Jouke Jan Hottenga, Raymond Walters, Charles Laurin, Eco J.C. de Geus, Gonneke Willemsen, Jan H. Smit, Christel M. Middeldorp, Brenda W.J.H. Penninx, Jacqueline M. Vink, Dorret I. Boomsma

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

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Unknown 102 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Student > Master 17 16%
Researcher 14 13%
Student > Bachelor 10 10%
Professor 9 9%
Other 23 22%
Unknown 8 8%
Readers by discipline Count As %
Psychology 22 21%
Agricultural and Biological Sciences 18 17%
Medicine and Dentistry 15 14%
Biochemistry, Genetics and Molecular Biology 14 13%
Neuroscience 6 6%
Other 14 13%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 February 2014.
All research outputs
#3,141,994
of 26,017,215 outputs
Outputs from Biological Psychiatry
#1,816
of 6,720 outputs
Outputs of similar age
#19,196
of 177,406 outputs
Outputs of similar age from Biological Psychiatry
#20
of 89 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 72% 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 177,406 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 89 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.