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Mendeley readers
Attention Score in Context
| Title |
The genome-scale metabolic model iIN800 of Saccharomyces cerevisiae and its validation: a scaffold to query lipid metabolism
|
|---|---|
| Published in |
BMC Systems Biology, August 2008
|
| DOI | 10.1186/1752-0509-2-71 |
| Pubmed ID | |
| Authors |
Intawat Nookaew, Michael C Jewett, Asawin Meechai, Chinae Thammarongtham, Kobkul Laoteng, Supapon Cheevadhanarak, Jens Nielsen, Sakarindr Bhumiratana |
| Abstract |
Up to now, there have been three published versions of a yeast genome-scale metabolic model: iFF708, iND750 and iLL672. All three models, however, lack a detailed description of lipid metabolism and thus are unable to be used as integrated scaffolds for gaining insights into lipid metabolism from multilevel omic measurement technologies (e.g. genome-wide mRNA levels). To overcome this limitation, we reconstructed a new version of the Saccharomyces cerevisiae genome-scale model, iIN800 that includes a more rigorous and detailed description of lipid metabolism. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 4 | 2% |
| Germany | 3 | 1% |
| Portugal | 3 | 1% |
| France | 3 | 1% |
| Sweden | 3 | 1% |
| Belgium | 2 | <1% |
| Canada | 2 | <1% |
| Israel | 1 | <1% |
| Other | 10 | 4% |
| Unknown | 228 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 27% |
| Researcher | 59 | 22% |
| Student > Master | 36 | 14% |
| Student > Bachelor | 16 | 6% |
| Student > Doctoral Student | 13 | 5% |
| Other | 46 | 17% |
| Unknown | 21 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 120 | 46% |
| Biochemistry, Genetics and Molecular Biology | 46 | 17% |
| Engineering | 22 | 8% |
| Computer Science | 11 | 4% |
| Chemical Engineering | 8 | 3% |
| Other | 18 | 7% |
| Unknown | 38 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 December 2020.
All research outputs
#4,097,513
of 22,761,738 outputs
Outputs from BMC Systems Biology
#125
of 1,142 outputs
Outputs of similar age
#14,005
of 82,500 outputs
Outputs of similar age from BMC Systems Biology
#1
of 6 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 89% 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 82,500 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 82% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them