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Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism

Overview of attention for article published in NeuroImage, December 2013
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108 Mendeley
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Title
Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism
Published in
NeuroImage, December 2013
DOI 10.1016/j.neuroimage.2013.12.050
Pubmed ID
Authors

Natalie J. Forde, Lisa Ronan, John Suckling, Cathy Scanlon, Simon Neary, Laurena Holleran, Alexander Leemans, Roger Tait, Catarina Rua, Paul C. Fletcher, Ben Jeurissen, Chris M. Dodds, Sam R. Miller, Edward T. Bullmore, Colm McDonald, Pradeep J. Nathan, Dara M. Cannon

Abstract

The brain-derived neurotrophic factor (BDNF) val66met polymorphism is associated with altered activity dependent secretion of BDNF and a variable influence on brain morphology and cognition. Although a met-dose effect is generally assumed, to date the paucity of met-homozygotes have limited our understanding of the role of the met-allele on brain structure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Japan 1 <1%
Belgium 1 <1%
Unknown 104 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 24%
Student > Ph. D. Student 21 19%
Student > Master 11 10%
Student > Doctoral Student 10 9%
Professor 7 6%
Other 21 19%
Unknown 12 11%
Readers by discipline Count As %
Medicine and Dentistry 18 17%
Neuroscience 17 16%
Agricultural and Biological Sciences 12 11%
Psychology 9 8%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 24 22%
Unknown 23 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2014.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from NeuroImage
#8,123
of 12,204 outputs
Outputs of similar age
#170,146
of 318,820 outputs
Outputs of similar age from NeuroImage
#77
of 153 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,204 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 31st percentile – i.e., 31% 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 318,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.