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From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition

Overview of attention for article published in BMC Neuroscience, July 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
4 Mendeley
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Title
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition
Published in
BMC Neuroscience, July 2013
DOI 10.1186/1471-2202-14-s1-p423
Authors

Ahmed Abdelmotaleb, Maria Schilstra, Neil Davey, Volker Steuber, Borys Wróbel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Researcher 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Engineering 1 25%
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 19 January 2019.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from BMC Neuroscience
#382
of 1,260 outputs
Outputs of similar age
#65,725
of 195,524 outputs
Outputs of similar age from BMC Neuroscience
#16
of 48 outputs
Altmetric has tracked 23,310,485 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 1,260 research outputs from this source. They receive a mean Attention Score of 4.4. 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 195,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.