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F2C2: a fast tool for the computation of flux coupling in genome-scale metabolic networks

Overview of attention for article published in BMC Bioinformatics, April 2012
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About this Attention Score

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

Mentioned by

patent
1 patent

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
127 Mendeley
citeulike
4 CiteULike
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Title
F2C2: a fast tool for the computation of flux coupling in genome-scale metabolic networks
Published in
BMC Bioinformatics, April 2012
DOI 10.1186/1471-2105-13-57
Pubmed ID
Authors

Abdelhalim Larhlimi, Laszlo David, Joachim Selbig, Alexander Bockmayr

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
France 2 2%
Iran, Islamic Republic of 2 2%
Switzerland 1 <1%
Singapore 1 <1%
Israel 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 116 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 22%
Researcher 27 21%
Student > Ph. D. Student 25 20%
Student > Bachelor 11 9%
Student > Doctoral Student 6 5%
Other 15 12%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 38%
Biochemistry, Genetics and Molecular Biology 13 10%
Computer Science 13 10%
Engineering 12 9%
Mathematics 5 4%
Other 15 12%
Unknown 21 17%
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 15 August 2019.
All research outputs
#7,610,760
of 23,205,257 outputs
Outputs from BMC Bioinformatics
#3,058
of 7,354 outputs
Outputs of similar age
#54,444
of 164,041 outputs
Outputs of similar age from BMC Bioinformatics
#47
of 105 outputs
Altmetric has tracked 23,205,257 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 7,354 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 gotten more attention than average, scoring higher than 50% 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 164,041 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 105 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.