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Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems

Overview of attention for article published in Neural Computation, February 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
patent
4 patents

Readers on

mendeley
183 Mendeley
citeulike
4 CiteULike
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Article details
Title
Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems
Published in
Neural Computation, February 2011
DOI 10.1162/neco_a_00118
Pubmed ID
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 8 4%
Japan 3 2%
Poland 2 1%
Netherlands 2 1%
Israel 2 1%
Brazil 2 1%
Hungary 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Other 0 0%
Unknown 161 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 55 30%
Researcher 37 20%
Student > Master 17 9%
Student > Postgraduate 11 6%
Student > Bachelor 10 5%
Other 30 16%
Unknown 23 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 44 24%
Engineering 27 15%
Neuroscience 26 14%
Computer Science 23 13%
Physics and Astronomy 10 5%
Other 26 14%
Unknown 27 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 July 2015.
All research outputs
#4,250,721
of 34,361,833 outputs
Outputs from Neural Computation
#148
of 1,340 outputs
Outputs of similar age
#25,258
of 257,938 outputs
Outputs of similar age from Neural Computation
#1
of 7 outputs
Altmetric has tracked 34,361,833 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,340 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 88% 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 257,938 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 89% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them