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Optimization of biotechnological systems through geometric programming

Overview of attention for article published in Theoretical Biology and Medical Modelling, September 2007
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
17 Mendeley
citeulike
1 CiteULike
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Title
Optimization of biotechnological systems through geometric programming
Published in
Theoretical Biology and Medical Modelling, September 2007
DOI 10.1186/1742-4682-4-38
Authors

Alberto Marin-Sanguino, Eberhard O Voit, Carlos Gonzalez-Alcon, Nestor V Torres

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Researcher 3 18%
Professor 2 12%
Student > Doctoral Student 2 12%
Student > Master 2 12%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 47%
Computer Science 5 29%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 1 6%
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 08 August 2019.
All research outputs
#13,137,879
of 23,164,913 outputs
Outputs from Theoretical Biology and Medical Modelling
#129
of 287 outputs
Outputs of similar age
#59,412
of 71,965 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 6 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 53% 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 71,965 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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 2 of them.