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SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools

Overview of attention for article published in BMC Systems Biology, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 1,132)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
16 X users
patent
5 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
190 Mendeley
citeulike
5 CiteULike
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Title
SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools
Published in
BMC Systems Biology, December 2013
DOI 10.1186/1752-0509-7-135
Pubmed ID
Authors

Claudine Chaouiya, Duncan Bérenguier, Sarah M Keating, Aurélien Naldi, Martijn P van Iersel, Nicolas Rodriguez, Andreas Dräger, Finja Büchel, Thomas Cokelaer, Bryan Kowal, Benjamin Wicks, Emanuel Gonçalves, Julien Dorier, Michel Page, Pedro T Monteiro, Axel von Kamp, Ioannis Xenarios, Hidde de Jong, Michael Hucka, Steffen Klamt, Denis Thieffry, Nicolas Le Novère, Julio Saez-Rodriguez, Tomáš Helikar

Abstract

Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 3%
United Kingdom 4 2%
United States 3 2%
France 1 <1%
Latvia 1 <1%
Turkey 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Singapore 1 <1%
Other 1 <1%
Unknown 170 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 29%
Student > Ph. D. Student 46 24%
Student > Master 23 12%
Student > Bachelor 11 6%
Student > Doctoral Student 8 4%
Other 27 14%
Unknown 20 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 28%
Computer Science 39 21%
Biochemistry, Genetics and Molecular Biology 33 17%
Engineering 10 5%
Medicine and Dentistry 9 5%
Other 17 9%
Unknown 28 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 30 January 2024.
All research outputs
#1,785,002
of 25,374,917 outputs
Outputs from BMC Systems Biology
#24
of 1,132 outputs
Outputs of similar age
#19,555
of 320,160 outputs
Outputs of similar age from BMC Systems Biology
#1
of 46 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 320,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.