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Mendeley readers
Attention Score in Context
| Title |
Proteomics-based metabolic modeling and characterization of the cellulolytic bacterium Thermobifida fusca
|
|---|---|
| Published in |
BMC Systems Biology, August 2014
|
| DOI | 10.1186/s12918-014-0086-2 |
| Pubmed ID | |
| Authors |
Niti Vanee, J Paul Brooks, Victor Spicer, Dmitriy Shamshurin, Oleg Krokhin, John A Wilkins, Yu Deng, Stephen S Fong |
| Abstract |
Thermobifida fusca is a cellulolytic bacterium with potential to be used as a platform organism for sustainable industrial production of biofuels, pharmaceutical ingredients and other bioprocesses due to its capability of potential to convert plant biomass to value-added chemicals. To best develop T. fusca as a bioprocess organism, it is important to understand its native cellular processes. In the current study, we characterize the metabolic network of T. fusca through reconstruction of a genome-scale metabolic model and proteomics data. The overall goal of this study was to use multiple metabolic models generated by different methods and comparison to experimental data to gain a high-confidence understanding of the T. fusca metabolic network. |
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 % |
|---|---|---|
| Unknown | 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 47 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 27% |
| Student > Ph. D. Student | 12 | 24% |
| Student > Master | 7 | 14% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 35% |
| Biochemistry, Genetics and Molecular Biology | 12 | 24% |
| Environmental Science | 3 | 6% |
| Chemical Engineering | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 11 | 22% |
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 2015.
All research outputs
#20,263,155
of 22,793,427 outputs
Outputs from BMC Systems Biology
#1,009
of 1,142 outputs
Outputs of similar age
#194,353
of 231,192 outputs
Outputs of similar age from BMC Systems Biology
#23
of 25 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 231,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.