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SBMLsqueezer: A CellDesigner plug-in to generate kinetic rate equations for biochemical networks

Overview of attention for article published in BMC Systems Biology, April 2008
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Mentioned by

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2 Wikipedia pages

Citations

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60 Dimensions

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130 Mendeley
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6 CiteULike
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Title
SBMLsqueezer: A CellDesigner plug-in to generate kinetic rate equations for biochemical networks
Published in
BMC Systems Biology, April 2008
DOI 10.1186/1752-0509-2-39
Pubmed ID
Authors

Andreas Dräger, Nadine Hassis, Jochen Supper, Adrian Schröder, Andreas Zell

Abstract

The development of complex biochemical models has been facilitated through the standardization of machine-readable representations like SBML (Systems Biology Markup Language). This effort is accompanied by the ongoing development of the human-readable diagrammatic representation SBGN (Systems Biology Graphical Notation). The graphical SBML editor CellDesigner allows direct translation of SBGN into SBML, and vice versa. For the assignment of kinetic rate laws, however, this process is not straightforward, as it often requires manual assembly and specific knowledge of kinetic equations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 4%
United Kingdom 5 4%
Switzerland 1 <1%
Italy 1 <1%
Latvia 1 <1%
Austria 1 <1%
France 1 <1%
Denmark 1 <1%
China 1 <1%
Other 2 2%
Unknown 111 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 32%
Researcher 29 22%
Student > Master 10 8%
Student > Doctoral Student 7 5%
Other 7 5%
Other 22 17%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 37%
Computer Science 23 18%
Biochemistry, Genetics and Molecular Biology 20 15%
Medicine and Dentistry 4 3%
Engineering 3 2%
Other 15 12%
Unknown 17 13%
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 11 February 2016.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#27,562
of 78,912 outputs
Outputs of similar age from BMC Systems Biology
#2
of 6 outputs
Altmetric has tracked 22,786,087 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 78,912 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.