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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reconstruction and analysis of a genome-scale metabolic model for Scheffersomyces stipitis
|
|---|---|
| Published in |
Microbial Cell Factories, February 2012
|
| DOI | 10.1186/1475-2859-11-27 |
| Pubmed ID | |
| Authors |
Balaji Balagurunathan, Sudhakar Jonnalagadda, Lily Tan, Rajagopalan Srinivasan |
| Abstract |
Fermentation of xylose, the major component in hemicellulose, is essential for economic conversion of lignocellulosic biomass to fuels and chemicals. The yeast Scheffersomyces stipitis (formerly known as Pichia stipitis) has the highest known native capacity for xylose fermentation and possesses several genes for lignocellulose bioconversion in its genome. Understanding the metabolism of this yeast at a global scale, by reconstructing the genome scale metabolic model, is essential for manipulating its metabolic capabilities and for successful transfer of its capabilities to other industrial microbes. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Latvia | 2 | 2% |
| Thailand | 1 | <1% |
| Unknown | 124 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 24% |
| Student > Master | 19 | 15% |
| Researcher | 18 | 14% |
| Student > Doctoral Student | 11 | 9% |
| Student > Bachelor | 9 | 7% |
| Other | 30 | 24% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 33% |
| Biochemistry, Genetics and Molecular Biology | 24 | 19% |
| Engineering | 14 | 11% |
| Chemical Engineering | 8 | 6% |
| Computer Science | 5 | 4% |
| Other | 20 | 16% |
| Unknown | 14 | 11% |
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 28 February 2012.
All research outputs
#15,242,272
of 22,663,150 outputs
Outputs from Microbial Cell Factories
#973
of 1,581 outputs
Outputs of similar age
#100,271
of 156,342 outputs
Outputs of similar age from Microbial Cell Factories
#8
of 13 outputs
Altmetric has tracked 22,663,150 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 1,581 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 30th percentile – i.e., 30% 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 156,342 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% 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.