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PyCX: a Python-based simulation code repository for complex systems education

Overview of attention for article published in Complex Adaptive Systems Modeling, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

twitter
17 tweeters
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
88 Mendeley
Title
PyCX: a Python-based simulation code repository for complex systems education
Published in
Complex Adaptive Systems Modeling, March 2013
DOI 10.1186/2194-3206-1-2
Authors

Hiroki Sayama

Twitter Demographics

The data shown below were collected from the profiles of 17 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Spain 3 3%
United Kingdom 1 1%
Japan 1 1%
Portugal 1 1%
Singapore 1 1%
Unknown 77 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 30%
Researcher 25 28%
Student > Master 12 14%
Professor 5 6%
Other 4 5%
Other 16 18%
Readers by discipline Count As %
Computer Science 15 17%
Social Sciences 11 13%
Unspecified 9 10%
Physics and Astronomy 8 9%
Engineering 8 9%
Other 37 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 September 2018.
All research outputs
#1,314,541
of 13,528,132 outputs
Outputs from Complex Adaptive Systems Modeling
#5
of 71 outputs
Outputs of similar age
#17,764
of 163,811 outputs
Outputs of similar age from Complex Adaptive Systems Modeling
#1
of 1 outputs
Altmetric has tracked 13,528,132 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 71 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 92% 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 163,811 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them