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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-scale metabolic network reconstruction and in silico flux analysis of the thermophilic bacterium Thermus thermophilus HB27
|
|---|---|
| Published in |
Microbial Cell Factories, April 2014
|
| DOI | 10.1186/1475-2859-13-61 |
| Pubmed ID | |
| Authors |
Na-Rae Lee, Meiyappan Lakshmanan, Shilpi Aggarwal, Ji-Won Song, Iftekhar A Karimi, Dong-Yup Lee, Jin-Byung Park |
| Abstract |
Thermus thermophilus, an extremely thermophilic bacterium, has been widely recognized as a model organism for studying how microbes can survive and adapt under high temperature environment. However, the thermotolerant mechanisms and cellular metabolism still remains mostly unravelled. Thus, it is highly required to consider systems biological approaches where T. thermophilus metabolic network model can be employed together with high throughput experimental data for elucidating its physiological characteristics under such harsh conditions. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Singapore | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Unknown | 81 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 20% |
| Student > Ph. D. Student | 16 | 19% |
| Student > Master | 13 | 15% |
| Professor | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 14 | 16% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 34% |
| Biochemistry, Genetics and Molecular Biology | 18 | 21% |
| Engineering | 6 | 7% |
| Computer Science | 5 | 6% |
| Chemical Engineering | 4 | 5% |
| Other | 8 | 9% |
| Unknown | 16 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2016.
All research outputs
#16,048,318
of 25,374,917 outputs
Outputs from Microbial Cell Factories
#1,027
of 1,823 outputs
Outputs of similar age
#132,278
of 242,066 outputs
Outputs of similar age from Microbial Cell Factories
#17
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,823 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 40th percentile – i.e., 40% 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 242,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.