| Title |
Semi-automated non-target processing in GC × GC–MS metabolomics analysis: applicability for biomedical studies
|
|---|---|
| Published in |
Metabolomics, July 2010
|
| DOI | 10.1007/s11306-010-0219-6 |
| Pubmed ID | |
| Authors |
Maud M. Koek, Frans M. van der Kloet, Robert Kleemann, Teake Kooistra, Elwin R. Verheij, Thomas Hankemeier |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 2% |
| United States | 3 | 2% |
| Malaysia | 1 | <1% |
| South Africa | 1 | <1% |
| Italy | 1 | <1% |
| Russia | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 119 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 21% |
| Researcher | 26 | 20% |
| Student > Master | 22 | 17% |
| Professor > Associate Professor | 8 | 6% |
| Student > Doctoral Student | 8 | 6% |
| Other | 26 | 20% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 33% |
| Chemistry | 24 | 18% |
| Biochemistry, Genetics and Molecular Biology | 13 | 10% |
| Medicine and Dentistry | 7 | 5% |
| Environmental Science | 6 | 5% |
| Other | 20 | 15% |
| Unknown | 17 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 September 2014.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from Metabolomics
#843
of 1,411 outputs
Outputs of similar age
#86,391
of 109,109 outputs
Outputs of similar age from Metabolomics
#4
of 5 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 35th percentile – i.e., 35% 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 109,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.