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Adaptive cow movement detection using evolving spiking neural network models

Overview of attention for article published in Evolving Systems, February 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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6 Dimensions

Readers on

mendeley
28 Mendeley
Title
Adaptive cow movement detection using evolving spiking neural network models
Published in
Evolving Systems, February 2016
DOI 10.1007/s12530-016-9144-x
Authors

Tao Gao, Nikola Kasabov

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 43%
Lecturer 3 11%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Student > Bachelor 1 4%
Other 2 7%
Unknown 6 21%
Readers by discipline Count As %
Computer Science 6 21%
Agricultural and Biological Sciences 5 18%
Veterinary Science and Veterinary Medicine 3 11%
Business, Management and Accounting 2 7%
Social Sciences 2 7%
Other 2 7%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 February 2016.
All research outputs
#15,356,841
of 22,844,985 outputs
Outputs from Evolving Systems
#14
of 26 outputs
Outputs of similar age
#233,632
of 397,006 outputs
Outputs of similar age from Evolving Systems
#2
of 2 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26 research outputs from this source. They receive a mean Attention Score of 2.1. This one scored the same or higher as 12 of them.
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 397,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.