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Integrative connectionist learning systems inspired by nature: current models, future trends and challenges

Overview of attention for article published in Natural Computing, January 2008
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About this Attention Score

  • Among the highest-scoring outputs from this source (#39 of 145)

Mentioned by

patent
5 patents

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
23 Mendeley
Title
Integrative connectionist learning systems inspired by nature: current models, future trends and challenges
Published in
Natural Computing, January 2008
DOI 10.1007/s11047-008-9066-z
Authors

Nikola Kasabov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Belgium 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Researcher 4 17%
Student > Master 3 13%
Student > Bachelor 2 9%
Student > Doctoral Student 2 9%
Other 2 9%
Unknown 3 13%
Readers by discipline Count As %
Computer Science 12 52%
Agricultural and Biological Sciences 2 9%
Neuroscience 2 9%
Social Sciences 2 9%
Psychology 1 4%
Other 0 0%
Unknown 4 17%
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 08 March 2022.
All research outputs
#7,650,357
of 23,292,144 outputs
Outputs from Natural Computing
#39
of 145 outputs
Outputs of similar age
#43,085
of 157,096 outputs
Outputs of similar age from Natural Computing
#1
of 1 outputs
Altmetric has tracked 23,292,144 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 145 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 60% 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 157,096 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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