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Automated detection of 50-kHz ultrasonic vocalizations using template matching in XBAT

Overview of attention for article published in Journal of Neuroscience Methods, August 2014
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3 X users

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78 Mendeley
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Article details
Title
Automated detection of 50-kHz ultrasonic vocalizations using template matching in XBAT
Published in
Journal of Neuroscience Methods, August 2014
DOI 10.1016/j.jneumeth.2014.08.007
Pubmed ID
Authors

David J. Barker, Christopher Herrera, Mark O. West

Abstract

Ultrasonic vocalizations (USVs) have been utilized to infer animals' affective states in multiple research paradigms including animal models of drug abuse, depression, fear or anxiety disorders, Parkinson's disease, and in studying neural substrates of reward processing. Currently, the analysis of USV data is performed manually, and thus time consuming.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 6%
New Zealand 1 1%
Estonia 1 1%
Unknown 71 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 14 18%
Student > Master 12 15%
Student > Bachelor 8 10%
Other 2 3%
Other 9 12%
Unknown 12 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 24 31%
Psychology 8 10%
Medicine and Dentistry 7 9%
Neuroscience 6 8%
Engineering 6 8%
Other 13 17%
Unknown 14 18%
Attention Score in Context

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 07 December 2016.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Journal of Neuroscience Methods
#2,105
of 3,067 outputs
Outputs of similar age
#130,605
of 243,102 outputs
Outputs of similar age from Journal of Neuroscience Methods
#28
of 46 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,067 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 29th percentile – i.e., 29% 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 243,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.