| Title |
Experiment design beyond gut feeling: statistical tests and power to detect differential metabolites in mass spectrometry data
|
|---|---|
| Published in |
Metabolomics, November 2014
|
| DOI | 10.1007/s11306-014-0742-y |
| Authors |
Diana Trutschel, Stephan Schmidt, Ivo Grosse, Steffen Neumann |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| Australia | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Belgium | 1 | 1% |
| South Africa | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 68 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 24% |
| Researcher | 15 | 21% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 6 | 8% |
| Professor | 4 | 6% |
| Other | 13 | 18% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 33% |
| Chemistry | 12 | 17% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Medicine and Dentistry | 5 | 7% |
| Mathematics | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 September 2015.
All research outputs
#6,858,046
of 22,826,360 outputs
Outputs from Metabolomics
#419
of 1,295 outputs
Outputs of similar age
#76,551
of 261,511 outputs
Outputs of similar age from Metabolomics
#7
of 26 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,295 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 gotten more attention than average, scoring higher than 67% 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 261,511 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.