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Nature Inspired Computing: An Overview and Some Future Directions

Overview of attention for article published in Cognitive Computation, November 2015
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1 tweeter

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70 Mendeley
Title
Nature Inspired Computing: An Overview and Some Future Directions
Published in
Cognitive Computation, November 2015
DOI 10.1007/s12559-015-9370-8
Pubmed ID
Authors

Nazmul Siddique, Hojjat Adeli

Abstract

This paper presents an overview of significant advances made in the emerging field of nature-inspired computing (NIC) with a focus on the physics- and biology-based approaches and algorithms. A parallel development in the past two decades has been the emergence of the field of computational intelligence (CI) consisting primarily of the three fields of neural networks, evolutionary computing and fuzzy logic. It is observed that NIC and CI intersect. The authors advocate and foresee more cross-fertilisation of the two emerging fields.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Hong Kong 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Student > Master 13 19%
Unspecified 11 16%
Student > Doctoral Student 7 10%
Lecturer > Senior Lecturer 4 6%
Other 17 24%
Readers by discipline Count As %
Computer Science 29 41%
Engineering 19 27%
Unspecified 18 26%
Business, Management and Accounting 1 1%
Social Sciences 1 1%
Other 2 3%

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 01 December 2015.
All research outputs
#10,214,449
of 12,787,140 outputs
Outputs from Cognitive Computation
#135
of 336 outputs
Outputs of similar age
#238,001
of 350,312 outputs
Outputs of similar age from Cognitive Computation
#3
of 8 outputs
Altmetric has tracked 12,787,140 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 336 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 350,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.