| Title |
Procedure for tissue sample preparation and metabolite extraction for high-throughput targeted metabolomics
|
|---|---|
| Published in |
Metabolomics, March 2011
|
| DOI | 10.1007/s11306-011-0293-4 |
| Authors |
Werner Römisch-Margl, Cornelia Prehn, Ralf Bogumil, Cornelia Röhring, Karsten Suhre, Jerzy Adamski |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Spain | 1 | 20% |
| France | 1 | 20% |
| Qatar | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 346 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 1% |
| United States | 4 | 1% |
| Malaysia | 2 | <1% |
| United Kingdom | 2 | <1% |
| Netherlands | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| China | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 326 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 101 | 29% |
| Researcher | 64 | 18% |
| Student > Master | 41 | 12% |
| Student > Bachelor | 28 | 8% |
| Student > Doctoral Student | 20 | 6% |
| Other | 37 | 11% |
| Unknown | 55 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 91 | 26% |
| Chemistry | 66 | 19% |
| Biochemistry, Genetics and Molecular Biology | 47 | 14% |
| Medicine and Dentistry | 20 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 3% |
| Other | 38 | 11% |
| Unknown | 73 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 18 August 2022.
All research outputs
#2,558,553
of 26,017,215 outputs
Outputs from Metabolomics
#105
of 1,413 outputs
Outputs of similar age
#10,925
of 124,197 outputs
Outputs of similar age from Metabolomics
#1
of 11 outputs
Altmetric has tracked 26,017,215 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 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 92% 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 124,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.