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Mendeley readers
Attention Score in Context
| Title |
MetAssimulo:Simulation of Realistic NMR Metabolic Profiles
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-496 |
| Pubmed ID | |
| Authors |
Harriet J Muncey, Rebecca Jones, Maria De Iorio, Timothy MD Ebbels |
| Abstract |
Probing the complex fusion of genetic and environmental interactions, metabolic profiling (or metabolomics/metabonomics), the study of small molecules involved in metabolic reactions, is a rapidly expanding 'omics' field. A major technique for capturing metabolite data is 1H-NMR spectroscopy and this yields highly complex profiles that require sophisticated statistical analysis methods. However, experimental data is difficult to control and expensive to obtain. Thus data simulation is a productive route to aid algorithm development. |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| United States | 2 | 3% |
| Denmark | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 56 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Researcher | 13 | 21% |
| Student > Master | 10 | 16% |
| Professor | 5 | 8% |
| Other | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 21% |
| Chemistry | 11 | 18% |
| Computer Science | 8 | 13% |
| Medicine and Dentistry | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 9 | 15% |
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 20 April 2017.
All research outputs
#4,143,164
of 22,656,971 outputs
Outputs from BMC Bioinformatics
#1,604
of 7,236 outputs
Outputs of similar age
#18,039
of 99,024 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 50 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 77% 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 99,024 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 80% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.