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Significance of Models of Computation, from Turing Model to Natural Computation

Overview of attention for article published in Minds and Machines, February 2011
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1 X user

Citations

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98 Mendeley
Title
Significance of Models of Computation, from Turing Model to Natural Computation
Published in
Minds and Machines, February 2011
DOI 10.1007/s11023-011-9235-1
Authors

Gordana Dodig-Crnkovic

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Italy 1 1%
Brazil 1 1%
United Kingdom 1 1%
Canada 1 1%
Belgium 1 1%
United States 1 1%
Unknown 91 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Student > Master 13 13%
Researcher 11 11%
Lecturer 7 7%
Student > Bachelor 6 6%
Other 22 22%
Unknown 21 21%
Readers by discipline Count As %
Computer Science 33 34%
Philosophy 12 12%
Social Sciences 8 8%
Engineering 5 5%
Agricultural and Biological Sciences 4 4%
Other 15 15%
Unknown 21 21%
Attention Score in Context

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 27 October 2015.
All research outputs
#21,415,544
of 23,906,448 outputs
Outputs from Minds and Machines
#311
of 323 outputs
Outputs of similar age
#177,823
of 188,397 outputs
Outputs of similar age from Minds and Machines
#7
of 7 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 1st percentile – i.e., 1% 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 188,397 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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.