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Cellular automata modelling of slime mould actin network signalling

Overview of attention for article published in Natural Computing, May 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
Title
Cellular automata modelling of slime mould actin network signalling
Published in
Natural Computing, May 2016
DOI 10.1007/s11047-016-9559-0
Authors

Richard Mayne, Andrew Adamatkzy

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Student > Master 3 27%
Student > Ph. D. Student 2 18%
Unspecified 1 9%
Lecturer 1 9%
Other 1 9%
Readers by discipline Count As %
Unspecified 2 18%
Computer Science 2 18%
Materials Science 2 18%
Engineering 2 18%
Physics and Astronomy 1 9%
Other 2 18%

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 24 May 2016.
All research outputs
#7,893,731
of 12,581,102 outputs
Outputs from Natural Computing
#56
of 100 outputs
Outputs of similar age
#143,456
of 264,239 outputs
Outputs of similar age from Natural Computing
#2
of 5 outputs
Altmetric has tracked 12,581,102 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 100 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 24th percentile – i.e., 24% 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 264,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% 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 3 of them.