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Modeling Hybridoma Cell Metabolism Using a Generic Genome‐Scale Metabolic Model of Mus musculus

Overview of attention for article published in Biotechnology Progress, September 2008
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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 (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
202 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Modeling Hybridoma Cell Metabolism Using a Generic Genome‐Scale Metabolic Model of Mus musculus
Published in
Biotechnology Progress, September 2008
DOI 10.1021/bp0498138
Pubmed ID
Authors

Kashif Sheikh, Jochen Förster, Lars K. Nielsen

Abstract

The reconstructed cellular metabolic network of Mus musculus, based on annotated genomic data, pathway databases, and currently available biochemical and physiological information, is presented. Although incomplete, it represents the first attempt to collect and characterize the metabolic network of a mammalian cell on the basis of genomic data. The reaction network is generic in nature and attempts to capture the carbon, energy, and nitrogen metabolism of the cell. The metabolic reactions were compartmentalized between the cytosol and the mitochondria, including transport reactions between the compartments and the extracellular medium. The reaction list consists of 872 internal metabolites involved in a total of 1220 reactions, whereof 473 relate to known open reading frames. Initial in silico analysis of the reconstructed model is presented.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Canada 2 <1%
Portugal 2 <1%
United Kingdom 1 <1%
France 1 <1%
Singapore 1 <1%
Iceland 1 <1%
China 1 <1%
Iran, Islamic Republic of 1 <1%
Other 0 0%
Unknown 187 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 34%
Researcher 36 18%
Student > Master 30 15%
Student > Doctoral Student 9 4%
Professor > Associate Professor 9 4%
Other 24 12%
Unknown 25 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 34%
Engineering 29 14%
Chemical Engineering 22 11%
Biochemistry, Genetics and Molecular Biology 17 8%
Computer Science 5 2%
Other 26 13%
Unknown 34 17%
Attention Score in Context

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 17 April 2018.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Biotechnology Progress
#506
of 2,525 outputs
Outputs of similar age
#19,528
of 96,899 outputs
Outputs of similar age from Biotechnology Progress
#237
of 1,227 outputs
Altmetric has tracked 25,373,627 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 2,525 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 63% 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 96,899 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 70% of its contemporaries.
We're also able to compare this research output to 1,227 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 58% of its contemporaries.