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Computationally efficient flux variability analysis

Overview of attention for article published in BMC Bioinformatics, September 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
222 Dimensions

Readers on

mendeley
400 Mendeley
citeulike
5 CiteULike
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Title
Computationally efficient flux variability analysis
Published in
BMC Bioinformatics, September 2010
DOI 10.1186/1471-2105-11-489
Pubmed ID
Authors

Steinn Gudmundsson, Ines Thiele

Mendeley readers

The data shown below were compiled from readership statistics for 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 7 2%
United States 7 2%
United Kingdom 4 1%
France 2 <1%
Luxembourg 2 <1%
Iran, Islamic Republic of 2 <1%
Sweden 2 <1%
Chile 1 <1%
Brazil 1 <1%
Other 12 3%
Unknown 360 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 109 27%
Student > Master 85 21%
Researcher 62 16%
Student > Bachelor 34 9%
Student > Doctoral Student 18 5%
Other 44 11%
Unknown 48 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 125 31%
Biochemistry, Genetics and Molecular Biology 77 19%
Engineering 34 9%
Computer Science 31 8%
Chemical Engineering 26 7%
Other 46 12%
Unknown 61 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 14 September 2021.
All research outputs
#2,577,871
of 20,477,298 outputs
Outputs from BMC Bioinformatics
#956
of 6,782 outputs
Outputs of similar age
#50,262
of 281,564 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 6 outputs
Altmetric has tracked 20,477,298 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,782 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 281,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
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 all of them