↓ Skip to main content

Iterative reconstruction of a global metabolic model of Acinetobacter baylyi ADP1 using high-throughput growth phenotype and gene essentiality data

Overview of attention for article published in BMC Systems Biology, October 2008
Altmetric Badge

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 (71st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
112 Mendeley
citeulike
4 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Iterative reconstruction of a global metabolic model of Acinetobacter baylyi ADP1 using high-throughput growth phenotype and gene essentiality data
Published in
BMC Systems Biology, October 2008
DOI 10.1186/1752-0509-2-85
Pubmed ID
Authors

Maxime Durot, François Le Fèvre, Véronique de Berardinis, Annett Kreimeyer, David Vallenet, Cyril Combe, Serge Smidtas, Marcel Salanoubat, Jean Weissenbach, Vincent Schachter

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 6%
Germany 2 2%
Gambia 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Latvia 1 <1%
Finland 1 <1%
India 1 <1%
Other 2 2%
Unknown 94 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 34%
Researcher 25 22%
Student > Master 11 10%
Student > Bachelor 8 7%
Professor 6 5%
Other 17 15%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 40%
Biochemistry, Genetics and Molecular Biology 27 24%
Engineering 10 9%
Chemical Engineering 8 7%
Computer Science 7 6%
Other 5 4%
Unknown 10 9%

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 08 October 2020.
All research outputs
#3,854,538
of 19,033,718 outputs
Outputs from BMC Systems Biology
#144
of 1,129 outputs
Outputs of similar age
#81,022
of 291,177 outputs
Outputs of similar age from BMC Systems Biology
#5
of 31 outputs
Altmetric has tracked 19,033,718 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,129 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 86% 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 291,177 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.