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Attention Score in Context
Title |
Comparative multi-goal tradeoffs in systems engineering of microbial metabolism
|
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Published in |
BMC Systems Biology, September 2012
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DOI | 10.1186/1752-0509-6-127 |
Pubmed ID | |
Authors |
David Byrne, Alexandra Dumitriu, Daniel Segrè |
Abstract |
Metabolic engineering design methodology has evolved from using pathway-centric, random and empirical-based methods to using systems-wide, rational and integrated computational and experimental approaches. Persistent during these advances has been the desire to develop design strategies that address multiple simultaneous engineering goals, such as maximizing productivity, while minimizing raw material costs. |
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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 5% |
Portugal | 3 | 4% |
Switzerland | 1 | 1% |
Sweden | 1 | 1% |
Iran, Islamic Republic of | 1 | 1% |
Singapore | 1 | 1% |
Thailand | 1 | 1% |
Denmark | 1 | 1% |
Unknown | 69 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 32% |
Researcher | 22 | 27% |
Student > Master | 6 | 7% |
Student > Postgraduate | 5 | 6% |
Student > Bachelor | 3 | 4% |
Other | 8 | 10% |
Unknown | 12 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 33% |
Computer Science | 10 | 12% |
Biochemistry, Genetics and Molecular Biology | 10 | 12% |
Engineering | 6 | 7% |
Medicine and Dentistry | 3 | 4% |
Other | 8 | 10% |
Unknown | 18 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 04 May 2023.
All research outputs
#5,339,559
of 25,374,917 outputs
Outputs from BMC Systems Biology
#150
of 1,132 outputs
Outputs of similar age
#38,527
of 190,795 outputs
Outputs of similar age from BMC Systems Biology
#8
of 25 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 86% 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 190,795 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 79% of its contemporaries.
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 has gotten more attention than average, scoring higher than 68% of its contemporaries.