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The evolution of metabolic networks of E. coli

Overview of attention for article published in BMC Systems Biology, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 tweeters
peer_reviews
1 peer review site

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
237 Mendeley
citeulike
11 CiteULike
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Title
The evolution of metabolic networks of E. coli
Published in
BMC Systems Biology, January 2011
DOI 10.1186/1752-0509-5-182
Pubmed ID
Authors

David J Baumler, Roman G Peplinski, Jennifer L Reed, Jeremy D Glasner, Nicole T Perna

Abstract

Despite the availability of numerous complete genome sequences from E. coli strains, published genome-scale metabolic models exist only for two commensal E. coli strains. These models have proven useful for many applications, such as engineering strains for desired product formation, and we sought to explore how constructing and evaluating additional metabolic models for E. coli strains could enhance these efforts.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
United Kingdom 2 <1%
Denmark 2 <1%
Indonesia 1 <1%
Sweden 1 <1%
Chile 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Mexico 1 <1%
Other 6 3%
Unknown 210 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 31%
Researcher 48 20%
Student > Master 26 11%
Student > Bachelor 25 11%
Student > Doctoral Student 12 5%
Other 36 15%
Unknown 17 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 115 49%
Biochemistry, Genetics and Molecular Biology 33 14%
Engineering 17 7%
Computer Science 15 6%
Medicine and Dentistry 7 3%
Other 25 11%
Unknown 25 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 September 2014.
All research outputs
#5,129,178
of 21,328,399 outputs
Outputs from BMC Systems Biology
#171
of 1,138 outputs
Outputs of similar age
#32,225
of 133,217 outputs
Outputs of similar age from BMC Systems Biology
#17
of 111 outputs
Altmetric has tracked 21,328,399 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,138 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% 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 133,217 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 75% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.