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The alchemy of computation: designing with the unknown

Overview of attention for article published in Natural Computing, April 2019
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

mendeley
12 Mendeley
Title
The alchemy of computation: designing with the unknown
Published in
Natural Computing, April 2019
DOI 10.1007/s11047-019-09738-6
Authors

Julian Francis Miller

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Bachelor 3 25%
Student > Ph. D. Student 2 17%
Student > Doctoral Student 1 8%
Professor 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 5 42%
Engineering 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Physics and Astronomy 1 8%
Chemical Engineering 1 8%
Other 0 0%
Unknown 2 17%
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 21 August 2019.
All research outputs
#15,578,413
of 23,154,520 outputs
Outputs from Natural Computing
#86
of 145 outputs
Outputs of similar age
#217,612
of 350,158 outputs
Outputs of similar age from Natural Computing
#3
of 3 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 is in the 20th percentile – i.e., 20% 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 350,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.