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An experimental characterization of reservoir computing in ambient assisted living applications

Overview of attention for article published in Neural Computing and Applications, March 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
61 Mendeley
Title
An experimental characterization of reservoir computing in ambient assisted living applications
Published in
Neural Computing and Applications, March 2013
DOI 10.1007/s00521-013-1364-4
Authors

Davide Bacciu, Paolo Barsocchi, Stefano Chessa, Claudio Gallicchio, Alessio Micheli

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Student > Doctoral Student 8 13%
Researcher 7 11%
Student > Ph. D. Student 7 11%
Lecturer 4 7%
Other 11 18%
Unknown 13 21%
Readers by discipline Count As %
Computer Science 18 30%
Engineering 17 28%
Agricultural and Biological Sciences 2 3%
Business, Management and Accounting 2 3%
Decision Sciences 1 2%
Other 3 5%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 May 2022.
All research outputs
#7,862,539
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#171
of 2,407 outputs
Outputs of similar age
#66,796
of 198,739 outputs
Outputs of similar age from Neural Computing and Applications
#3
of 5 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 84% 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 198,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.