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Parameters for burst detection

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
226 Mendeley
citeulike
1 CiteULike
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Title
Parameters for burst detection
Published in
Frontiers in Computational Neuroscience, January 2014
DOI 10.3389/fncom.2013.00193
Pubmed ID
Authors

Douglas J. Bakkum, Milos Radivojevic, Urs Frey, Felix Franke, Andreas Hierlemann, Hirokazu Takahashi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 4 2%
Germany 3 1%
United States 2 <1%
United Kingdom 1 <1%
Unknown 216 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 27%
Student > Master 39 17%
Researcher 35 15%
Student > Bachelor 17 8%
Student > Postgraduate 12 5%
Other 34 15%
Unknown 27 12%
Readers by discipline Count As %
Neuroscience 56 25%
Agricultural and Biological Sciences 55 24%
Engineering 33 15%
Computer Science 13 6%
Biochemistry, Genetics and Molecular Biology 9 4%
Other 23 10%
Unknown 37 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 August 2023.
All research outputs
#6,260,270
of 24,321,976 outputs
Outputs from Frontiers in Computational Neuroscience
#290
of 1,409 outputs
Outputs of similar age
#69,484
of 315,222 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 15 outputs
Altmetric has tracked 24,321,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,409 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 79% 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 315,222 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.