| Title |
An analysis of a ‘community-driven’ reconstruction of the human metabolic network
|
|---|---|
| Published in |
Metabolomics, July 2013
|
| DOI | 10.1007/s11306-013-0564-3 |
| Pubmed ID | |
| Authors |
Neil Swainston, Pedro Mendes, Douglas B. Kell |
| Abstract |
Following a strategy similar to that used in baker's yeast (Herrgård et al. Nat Biotechnol 26:1155-1160, 2008). A consensus yeast metabolic network obtained from a community approach to systems biology (Herrgård et al. 2008; Dobson et al. BMC Syst Biol 4:145, 2010). Further developments towards a genome-scale metabolic model of yeast (Dobson et al. 2010; Heavner et al. BMC Syst Biol 6:55, 2012). Yeast 5-an expanded reconstruction of the Saccharomyces cerevisiae metabolic network (Heavner et al. 2012) and in Salmonella typhimurium (Thiele et al. BMC Syst Biol 5:8, 2011). A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella typhimurium LT2 (Thiele et al. 2011), a recent paper (Thiele et al. Nat Biotechnol 31:419-425, 2013). A community-driven global reconstruction of human metabolism (Thiele et al. 2013) described a much improved 'community consensus' reconstruction of the human metabolic network, called Recon 2, and the authors (that include the present ones) have made it freely available via a database at http://humanmetabolism.org/ and in SBML format at Biomodels (http://identifiers.org/biomodels.db/MODEL1109130000). This short analysis summarises the main findings, and suggests some approaches that will be able to exploit the availability of this model to advantage. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 13% |
| France | 1 | 13% |
| Myanmar | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 38% |
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
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 | 3 | 4% |
| Sweden | 2 | 2% |
| Japan | 2 | 2% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| South Africa | 1 | 1% |
| Germany | 1 | 1% |
| Colombia | 1 | 1% |
| Singapore | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 69 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 34% |
| Student > Ph. D. Student | 18 | 22% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 5 | 6% |
| Professor > Associate Professor | 4 | 5% |
| Other | 16 | 20% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 49% |
| Computer Science | 12 | 15% |
| Biochemistry, Genetics and Molecular Biology | 9 | 11% |
| Engineering | 3 | 4% |
| Medicine and Dentistry | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 8 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 18 September 2013.
All research outputs
#1,932,909
of 24,742,536 outputs
Outputs from Metabolomics
#72
of 1,358 outputs
Outputs of similar age
#16,111
of 199,693 outputs
Outputs of similar age from Metabolomics
#2
of 18 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 199,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.