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Hybrid Models and Biological Model Reduction with PyDSTool

Overview of attention for article published in PLoS Computational Biology, August 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
3 CiteULike
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Title
Hybrid Models and Biological Model Reduction with PyDSTool
Published in
PLoS Computational Biology, August 2012
DOI 10.1371/journal.pcbi.1002628
Pubmed ID
Authors

Robert Clewley

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 3 3%
Spain 3 3%
United Kingdom 2 2%
France 2 2%
Finland 1 <1%
Portugal 1 <1%
Unknown 103 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 29%
Student > Ph. D. Student 29 24%
Student > Master 16 13%
Student > Bachelor 10 8%
Other 7 6%
Other 18 15%
Unknown 4 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 31%
Computer Science 17 14%
Neuroscience 11 9%
Engineering 10 8%
Biochemistry, Genetics and Molecular Biology 9 8%
Other 24 20%
Unknown 11 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 April 2018.
All research outputs
#6,915,313
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#4,652
of 9,003 outputs
Outputs of similar age
#49,230
of 185,253 outputs
Outputs of similar age from PLoS Computational Biology
#48
of 107 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 48th percentile – i.e., 48% 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 185,253 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 73% of its contemporaries.
We're also able to compare this research output to 107 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 55% of its contemporaries.