| Title |
Serially coupling hydrophobic interaction and reversed-phase chromatography with simultaneous gradients provides greater coverage of the metabolome
|
|---|---|
| Published in |
Metabolomics, January 2015
|
| DOI | 10.1007/s11306-014-0770-7 |
| Pubmed ID | |
| Authors |
Jennifer Haggarty, Madalina Oppermann, Matthew J. Dalby, Richard J. Burchmore, Ken Cook, Stefan Weidt, Karl E. V. Burgess |
| Abstract |
The serial coupling of a reversed-phase liquid chromatography (RPLC) column to a hydrophilic interaction liquid chromatography (HILIC) column has been developed in recent years for the detection of polar and nonpolar metabolites. TCA intermediates, bile acid standards and numerous polar and non-polar metabolites extracted from beer were analysed using a combined RPLC/HILIC method. Non-polar metabolites were retained by the RPLC column. Polar metabolites not retained by the RPLC column were retained and separated by the HILIC column. The results from this study validate this simple yet powerful metabolomics approach. |
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 Kingdom | 2 | 33% |
| Germany | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| France | 1 | 1% |
| South Africa | 1 | 1% |
| Czechia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 73 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Student > Master | 14 | 18% |
| Researcher | 13 | 16% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Other | 12 | 15% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 22 | 28% |
| Agricultural and Biological Sciences | 18 | 23% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Environmental Science | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 19 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 January 2022.
All research outputs
#12,759,035
of 23,001,641 outputs
Outputs from Metabolomics
#552
of 1,299 outputs
Outputs of similar age
#161,374
of 352,884 outputs
Outputs of similar age from Metabolomics
#4
of 28 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,299 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 56% 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 352,884 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 53% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.