| Title |
Controlling the quality of metabolomics data: new strategies to get the best out of the QC sample
|
|---|---|
| Published in |
Metabolomics, July 2014
|
| DOI | 10.1007/s11306-014-0712-4 |
| Authors |
Joanna Godzien, Vanesa Alonso-Herranz, Coral Barbas, Emily Grace Armitage |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 14% |
| Germany | 2 | 9% |
| United Kingdom | 1 | 5% |
| Netherlands | 1 | 5% |
| Argentina | 1 | 5% |
| Unknown | 14 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 45% |
| Scientists | 10 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Czechia | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 239 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 24% |
| Researcher | 43 | 18% |
| Student > Master | 42 | 17% |
| Student > Bachelor | 21 | 9% |
| Student > Doctoral Student | 9 | 4% |
| Other | 30 | 12% |
| Unknown | 40 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 58 | 24% |
| Agricultural and Biological Sciences | 37 | 15% |
| Biochemistry, Genetics and Molecular Biology | 34 | 14% |
| Medicine and Dentistry | 14 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 5% |
| Other | 26 | 11% |
| Unknown | 63 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 02 March 2022.
All research outputs
#2,397,914
of 23,243,271 outputs
Outputs from Metabolomics
#111
of 1,308 outputs
Outputs of similar age
#25,142
of 230,465 outputs
Outputs of similar age from Metabolomics
#4
of 41 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 91% 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 230,465 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 89% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.