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Identification of regulatory structure and kinetic parameters of biochemical networks via mixed-integer dynamic optimization

Overview of attention for article published in BMC Systems Biology, October 2013
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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3 X users

Citations

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21 Dimensions

Readers on

mendeley
95 Mendeley
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3 CiteULike
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Title
Identification of regulatory structure and kinetic parameters of biochemical networks via mixed-integer dynamic optimization
Published in
BMC Systems Biology, October 2013
DOI 10.1186/1752-0509-7-113
Pubmed ID
Authors

Gonzalo Guillén-Gosálbez, Antoni Miró, Rui Alves, Albert Sorribas, Laureano Jiménez

Abstract

Recovering the network topology and associated kinetic parameter values from time-series data are central topics in systems biology. Nevertheless, methods that simultaneously do both are few and lack generality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
United States 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 35%
Student > Ph. D. Student 22 23%
Researcher 11 12%
Student > Bachelor 5 5%
Professor > Associate Professor 5 5%
Other 13 14%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 32%
Environmental Science 18 19%
Chemical Engineering 9 9%
Engineering 9 9%
Computer Science 6 6%
Other 11 12%
Unknown 12 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 20 November 2013.
All research outputs
#14,797,724
of 25,394,764 outputs
Outputs from BMC Systems Biology
#466
of 1,132 outputs
Outputs of similar age
#118,695
of 226,001 outputs
Outputs of similar age from BMC Systems Biology
#21
of 54 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 58% 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 226,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 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 61% of its contemporaries.