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A Genome-Wide Association Study of Depressive Symptoms

Overview of attention for article published in Biological Psychiatry, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
72 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
167 Mendeley
citeulike
6 CiteULike
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Title
A Genome-Wide Association Study of Depressive Symptoms
Published in
Biological Psychiatry, April 2013
DOI 10.1016/j.biopsych.2012.09.033
Pubmed ID
Authors

Karin Hek, Ayse Demirkan, Jari Lahti, Antonio Terracciano, Alexander Teumer, Marilyn C. Cornelis, Najaf Amin, Erin Bakshis, Jens Baumert, Jingzhong Ding, Yongmei Liu, Kristin Marciante, Osorio Meirelles, Michael A. Nalls, Yan V. Sun, Nicole Vogelzangs, Lei Yu, Stefania Bandinelli, Emelia J. Benjamin, David A. Bennett, Dorret Boomsma, Alessandra Cannas, Laura H. Coker, Eco de Geus, Philip L. De Jager, Ana V. Diez-Roux, Shaun Purcell, Frank B. Hu, Eric B. Rimm, David J. Hunter, Majken K. Jensen, Gary Curhan, Kenneth Rice, Alan D. Penman, Jerome I. Rotter, Nona Sotoodehnia, Rebecca Emeny, Johan G. Eriksson, Denis A. Evans, Luigi Ferrucci, Myriam Fornage, Vilmundur Gudnason, Albert Hofman, Thomas Illig, Sharon Kardia, Margaret Kelly-Hayes, Karestan Koenen, Peter Kraft, Maris Kuningas, Joseph M. Massaro, David Melzer, Antonella Mulas, Cornelis L. Mulder, Anna Murray, Ben A. Oostra, Aarno Palotie, Brenda Penninx, Astrid Petersmann, Luke C. Pilling, Bruce Psaty, Rajesh Rawal, Eric M. Reiman, Andrea Schulz, Joshua M. Shulman, Andrew B. Singleton, Albert V. Smith, Angelina R. Sutin, André G. Uitterlinden, Henry Völzke, Elisabeth Widen, Kristine Yaffe, Alan B. Zonderman, Francesco Cucca, Tamara Harris, Karl-Heinz Ladwig, David J. Llewellyn, Katri Räikkönen, Toshiko Tanaka, Cornelia M. van Duijn, Hans J. Grabe, Lenore J. Launer, Kathryn L. Lunetta, Thomas H. Mosley, Anne B. Newman, Henning Tiemeier, Joanne Murabito

Abstract

Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.

Twitter Demographics

The data shown below were collected from the profiles of 72 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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 2 1%
Russia 1 <1%
France 1 <1%
Switzerland 1 <1%
Finland 1 <1%
Japan 1 <1%
Germany 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 155 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 18%
Researcher 28 17%
Student > Master 21 13%
Professor 16 10%
Student > Bachelor 15 9%
Other 57 34%
Readers by discipline Count As %
Medicine and Dentistry 34 20%
Psychology 34 20%
Agricultural and Biological Sciences 33 20%
Unspecified 24 14%
Biochemistry, Genetics and Molecular Biology 13 8%
Other 29 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 14 September 2017.
All research outputs
#178,652
of 12,272,106 outputs
Outputs from Biological Psychiatry
#171
of 4,360 outputs
Outputs of similar age
#3,693
of 283,906 outputs
Outputs of similar age from Biological Psychiatry
#3
of 75 outputs
Altmetric has tracked 12,272,106 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,360 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 97% 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 283,906 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.