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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The evolution of metabolic networks of E. coli
|
|---|---|
| Published in |
BMC Systems Biology, November 2011
|
| DOI | 10.1186/1752-0509-5-182 |
| Pubmed ID | |
| Authors |
David J Baumler, Roman G Peplinski, Jennifer L Reed, Jeremy D Glasner, Nicole T Perna |
| Abstract |
Despite the availability of numerous complete genome sequences from E. coli strains, published genome-scale metabolic models exist only for two commensal E. coli strains. These models have proven useful for many applications, such as engineering strains for desired product formation, and we sought to explore how constructing and evaluating additional metabolic models for E. coli strains could enhance these efforts. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 4% |
| United Kingdom | 2 | <1% |
| Denmark | 2 | <1% |
| Indonesia | 1 | <1% |
| Sweden | 1 | <1% |
| Chile | 1 | <1% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 220 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 30% |
| Researcher | 48 | 19% |
| Student > Bachelor | 27 | 11% |
| Student > Master | 26 | 11% |
| Student > Doctoral Student | 13 | 5% |
| Other | 38 | 15% |
| Unknown | 22 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 115 | 47% |
| Biochemistry, Genetics and Molecular Biology | 33 | 13% |
| Engineering | 18 | 7% |
| Computer Science | 15 | 6% |
| Medicine and Dentistry | 8 | 3% |
| Other | 28 | 11% |
| Unknown | 30 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 September 2014.
All research outputs
#6,373,276
of 25,371,288 outputs
Outputs from BMC Systems Biology
#177
of 1,132 outputs
Outputs of similar age
#37,599
of 153,810 outputs
Outputs of similar age from BMC Systems Biology
#8
of 50 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% of its peers.
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 153,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.