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Comparison of pathway analysis and constraint-based methods for cell factory design

Overview of attention for article published in BMC Bioinformatics, June 2019
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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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11 X users

Citations

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4 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Comparison of pathway analysis and constraint-based methods for cell factory design
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2934-y
Pubmed ID
Authors

Vítor Vieira, Paulo Maia, Miguel Rocha, Isabel Rocha

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 8 18%
Student > Master 4 9%
Other 3 7%
Student > Doctoral Student 2 4%
Other 9 20%
Unknown 7 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 33%
Agricultural and Biological Sciences 10 22%
Computer Science 3 7%
Linguistics 1 2%
Environmental Science 1 2%
Other 5 11%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 July 2019.
All research outputs
#4,219,885
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,605
of 7,387 outputs
Outputs of similar age
#84,045
of 352,714 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 168 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 78% 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 352,714 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 76% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.