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High throughput analysis reveals dissociable gene expression profiles in two independent neural systems involved in the regulation of social behavior

Overview of attention for article published in BMC Neuroscience, October 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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2 tweeters

Citations

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18 Dimensions

Readers on

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34 Mendeley
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Title
High throughput analysis reveals dissociable gene expression profiles in two independent neural systems involved in the regulation of social behavior
Published in
BMC Neuroscience, October 2012
DOI 10.1186/1471-2202-13-126
Pubmed ID
Authors

Tyler J Stevenson, Kirstin Replogle, Jenny Drnevich, David F Clayton, Gregory F Ball

Abstract

Production of contextually appropriate social behaviors involves integrated activity across many brain regions. Many songbird species produce complex vocalizations called 'songs' that serve to attract potential mates, defend territories, and/or maintain flock cohesion. There are a series of discrete interconnect brain regions that are essential for the successful production of song. The probability and intensity of singing behavior is influenced by the reproductive state. The objectives of this study were to examine the broad changes in gene expression in brain regions that control song production with a brain region that governs the reproductive state.

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

Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Denmark 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 8 24%
Professor 4 12%
Professor > Associate Professor 3 9%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 47%
Neuroscience 4 12%
Psychology 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Engineering 2 6%
Other 4 12%
Unknown 3 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 October 2012.
All research outputs
#4,925,402
of 9,722,896 outputs
Outputs from BMC Neuroscience
#433
of 931 outputs
Outputs of similar age
#52,980
of 115,621 outputs
Outputs of similar age from BMC Neuroscience
#11
of 26 outputs
Altmetric has tracked 9,722,896 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 931 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% 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 115,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.