You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Genome-scale modeling using flux ratio constraints to enable metabolic engineering of clostridial metabolism in silico
|
---|---|
Published in |
BMC Systems Biology, May 2012
|
DOI | 10.1186/1752-0509-6-42 |
Pubmed ID | |
Authors |
Michael J McAnulty, Jiun Y Yen, Benjamin G Freedman, Ryan S Senger |
Abstract |
Genome-scale metabolic networks and flux models are an effective platform for linking an organism genotype to its phenotype. However, few modeling approaches offer predictive capabilities to evaluate potential metabolic engineering strategies in silico. |
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 % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Denmark | 2 | 1% |
Latvia | 1 | <1% |
Brazil | 1 | <1% |
New Zealand | 1 | <1% |
Colombia | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
France | 1 | <1% |
Thailand | 1 | <1% |
Other | 1 | <1% |
Unknown | 136 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 47 | 32% |
Researcher | 37 | 25% |
Student > Master | 18 | 12% |
Student > Doctoral Student | 8 | 5% |
Professor > Associate Professor | 8 | 5% |
Other | 18 | 12% |
Unknown | 13 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 66 | 44% |
Biochemistry, Genetics and Molecular Biology | 23 | 15% |
Engineering | 14 | 9% |
Computer Science | 8 | 5% |
Chemical Engineering | 5 | 3% |
Other | 8 | 5% |
Unknown | 25 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 March 2016.
All research outputs
#7,170,757
of 22,665,794 outputs
Outputs from BMC Systems Biology
#297
of 1,142 outputs
Outputs of similar age
#52,055
of 163,891 outputs
Outputs of similar age from BMC Systems Biology
#9
of 27 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 73% 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 163,891 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.