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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid construction of metabolic models for a family of Cyanobacteria using a multiple source annotation workflow
|
|---|---|
| Published in |
BMC Systems Biology, December 2013
|
| DOI | 10.1186/1752-0509-7-142 |
| Pubmed ID | |
| Authors |
Thomas J Mueller, Bertram M Berla, Himadri B Pakrasi, Costas D Maranas |
| Abstract |
Cyanobacteria are photoautotrophic prokaryotes that exhibit robust growth under diverse environmental conditions with minimal nutritional requirements. They can use solar energy to convert CO2 and other reduced carbon sources into biofuels and chemical products. The genus Cyanothece includes unicellular nitrogen-fixing cyanobacteria that have been shown to offer high levels of hydrogen production and nitrogen fixation. The reconstruction of quality genome-scale metabolic models for organisms with limited annotation resources remains a challenging task. |
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% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Singapore | 1 | <1% |
| Unknown | 101 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 23% |
| Researcher | 23 | 21% |
| Student > Master | 16 | 15% |
| Student > Bachelor | 9 | 8% |
| Professor > Associate Professor | 7 | 6% |
| Other | 15 | 14% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 34% |
| Biochemistry, Genetics and Molecular Biology | 16 | 15% |
| Computer Science | 12 | 11% |
| Engineering | 10 | 9% |
| Chemical Engineering | 5 | 5% |
| Other | 10 | 9% |
| Unknown | 20 | 18% |
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 13 August 2015.
All research outputs
#14,770,397
of 22,738,543 outputs
Outputs from BMC Systems Biology
#600
of 1,142 outputs
Outputs of similar age
#184,081
of 306,082 outputs
Outputs of similar age from BMC Systems Biology
#29
of 59 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 43rd percentile – i.e., 43% 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 306,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.