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A Genome-Wide Association Study of Depressive Symptoms

Overview of attention for article published in Biological Psychiatry, January 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
3 news outlets
blogs
3 blogs
twitter
56 X users
facebook
1 Facebook page

Citations

dimensions_citation
153 Dimensions

Readers on

mendeley
281 Mendeley
citeulike
6 CiteULike
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Title
A Genome-Wide Association Study of Depressive Symptoms
Published in
Biological Psychiatry, January 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 56 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 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
United States 2 <1%
Germany 1 <1%
Finland 1 <1%
Switzerland 1 <1%
Japan 1 <1%
Russia 1 <1%
Unknown 271 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 15%
Student > Ph. D. Student 36 13%
Student > Bachelor 33 12%
Student > Master 31 11%
Student > Doctoral Student 18 6%
Other 71 25%
Unknown 51 18%
Readers by discipline Count As %
Psychology 47 17%
Medicine and Dentistry 45 16%
Agricultural and Biological Sciences 34 12%
Biochemistry, Genetics and Molecular Biology 22 8%
Social Sciences 10 4%
Other 50 18%
Unknown 73 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 29 June 2021.
All research outputs
#508,872
of 25,837,817 outputs
Outputs from Biological Psychiatry
#308
of 6,645 outputs
Outputs of similar age
#3,541
of 294,086 outputs
Outputs of similar age from Biological Psychiatry
#3
of 98 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,645 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 done particularly well, scoring higher than 95% 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 294,086 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 98 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.