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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis
|
|---|---|
| Published in |
Genome Biology, January 2012
|
| DOI | 10.1186/gb-2012-13-1-r6 |
| Pubmed ID | |
| Authors |
Leonid Chindelevitch, Sarah Stanley, Deborah Hung, Aviv Regev, Bonnie Berger |
| Abstract |
Reconstructed models of metabolic networks are widely used for studying metabolism in various organisms. Many different reconstructions of the same organism often exist concurrently, forcing researchers to choose one of them at the exclusion of the others. We describe MetaMerge, an algorithm for semi-automatically reconciling a pair of existing metabolic network reconstructions into a single metabolic network model. We use MetaMerge to combine two published metabolic networks for Mycobacterium tuberculosis into a single network, which allows many reactions that could not be active in the individual models to become active, and predicts essential genes with a higher positive predictive value. |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Lithuania | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 95 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 32% |
| Researcher | 19 | 18% |
| Student > Master | 18 | 17% |
| Other | 7 | 7% |
| Professor | 6 | 6% |
| Other | 14 | 13% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 42% |
| Computer Science | 19 | 18% |
| Biochemistry, Genetics and Molecular Biology | 17 | 16% |
| Engineering | 4 | 4% |
| Mathematics | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 14 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 February 2016.
All research outputs
#7,047,742
of 25,374,647 outputs
Outputs from Genome Biology
#3,232
of 4,467 outputs
Outputs of similar age
#58,633
of 253,433 outputs
Outputs of similar age from Genome Biology
#35
of 44 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% 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 253,433 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 76% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.