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FAME, the Flux Analysis and Modeling Environment

Overview of attention for article published in BMC Systems Biology, January 2012
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
9 tweeters
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Readers on

mendeley
195 Mendeley
citeulike
11 CiteULike
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Title
FAME, the Flux Analysis and Modeling Environment
Published in
BMC Systems Biology, January 2012
DOI 10.1186/1752-0509-6-8
Pubmed ID
Authors

Boele J, Olivier BG, Teusink B, Joost Boele, Brett G Olivier, Bas Teusink

Abstract

The creation and modification of genome-scale metabolic models is a task that requires specialized software tools. While these are available, subsequently running or visualizing a model often relies on disjoint code, which adds additional actions to the analysis routine and, in our experience, renders these applications suboptimal for routine use by (systems) biologists.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Colombia 3 2%
Latvia 3 2%
Portugal 2 1%
France 2 1%
United Kingdom 2 1%
Australia 1 <1%
Germany 1 <1%
Singapore 1 <1%
Other 3 2%
Unknown 174 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 26%
Student > Ph. D. Student 46 24%
Student > Bachelor 21 11%
Student > Master 19 10%
Professor > Associate Professor 10 5%
Other 28 14%
Unknown 20 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 45%
Biochemistry, Genetics and Molecular Biology 26 13%
Computer Science 19 10%
Engineering 14 7%
Chemistry 4 2%
Other 16 8%
Unknown 28 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 21 March 2018.
All research outputs
#1,923,528
of 13,583,583 outputs
Outputs from BMC Systems Biology
#86
of 1,078 outputs
Outputs of similar age
#25,765
of 209,971 outputs
Outputs of similar age from BMC Systems Biology
#4
of 29 outputs
Altmetric has tracked 13,583,583 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,078 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 92% 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 209,971 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 87% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.