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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetabR: an R script for linear model analysis of quantitative metabolomic data
|
|---|---|
| Published in |
BMC Research Notes, October 2012
|
| DOI | 10.1186/1756-0500-5-596 |
| Pubmed ID | |
| Authors |
Ben Ernest, Jessica R Gooding, Shawn R Campagna, Arnold M Saxton, Brynn H Voy |
| Abstract |
Metabolomics is an emerging high-throughput approach to systems biology, but data analysis tools are lacking compared to other systems level disciplines such as transcriptomics and proteomics. Metabolomic data analysis requires a normalization step to remove systematic effects of confounding variables on metabolite measurements. Current tools may not correctly normalize every metabolite when the relationships between each metabolite quantity and fixed-effect confounding variables are different, or for the effects of random-effect confounding variables. Linear mixed models, an established methodology in the microarray literature, offer a standardized and flexible approach for removing the effects of fixed- and random-effect confounding variables from metabolomic data. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| United States | 3 | 3% |
| Italy | 1 | 1% |
| United Kingdom | 1 | 1% |
| South Africa | 1 | 1% |
| Spain | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 79 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 27% |
| Student > Ph. D. Student | 23 | 26% |
| Student > Master | 10 | 11% |
| Professor > Associate Professor | 6 | 7% |
| Student > Postgraduate | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 39% |
| Biochemistry, Genetics and Molecular Biology | 11 | 12% |
| Chemistry | 8 | 9% |
| Medicine and Dentistry | 5 | 6% |
| Engineering | 4 | 4% |
| Other | 15 | 17% |
| Unknown | 12 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 November 2012.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from BMC Research Notes
#3,006
of 4,253 outputs
Outputs of similar age
#140,072
of 183,634 outputs
Outputs of similar age from BMC Research Notes
#58
of 75 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 183,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.