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Genome-scale metabolic reconstructions of Pichia stipitis and Pichia pastoris and in silico evaluation of their potentials

Overview of attention for article published in BMC Systems Biology, April 2012
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1 X user

Citations

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108 Dimensions

Readers on

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245 Mendeley
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3 CiteULike
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Title
Genome-scale metabolic reconstructions of Pichia stipitis and Pichia pastoris and in silico evaluation of their potentials
Published in
BMC Systems Biology, April 2012
DOI 10.1186/1752-0509-6-24
Pubmed ID
Authors

Luis Caspeta, Saeed Shoaie, Rasmus Agren, Intawat Nookaew, Jens Nielsen

Abstract

Pichia stipitis and Pichia pastoris have long been investigated due to their native abilities to metabolize every sugar from lignocellulose and to modulate methanol consumption, respectively. The latter has been driving the production of several recombinant proteins. As a result, significant advances in their biochemical knowledge, as well as in genetic engineering and fermentation methods have been generated. The release of their genome sequences has allowed systems level research.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 <1%
Spain 2 <1%
Chile 1 <1%
Brazil 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Portugal 1 <1%
Mexico 1 <1%
Singapore 1 <1%
Other 0 0%
Unknown 234 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 26%
Researcher 49 20%
Student > Master 31 13%
Student > Bachelor 22 9%
Student > Doctoral Student 12 5%
Other 37 15%
Unknown 30 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 35%
Biochemistry, Genetics and Molecular Biology 56 23%
Engineering 29 12%
Chemical Engineering 14 6%
Computer Science 9 4%
Other 15 6%
Unknown 37 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 2012.
All research outputs
#15,242,847
of 22,664,267 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#102,441
of 161,215 outputs
Outputs of similar age from BMC Systems Biology
#6
of 13 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 161,215 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.