| Title |
Development of a rapid profiling method for the analysis of polar analytes in urine using HILIC–MS and ion mobility enabled HILIC–MS
|
|---|---|
| Published in |
Metabolomics, January 2019
|
| DOI | 10.1007/s11306-019-1474-9 |
| Pubmed ID | |
| Authors |
Adam M. King, Lauren G. Mullin, Ian D. Wilson, Muireann Coen, Paul D. Rainville, Robert S. Plumb, Lee A. Gethings, Garth Maker, Robert Trengove |
X Demographics
The data shown below were collected from the profiles of 17 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 | 2 | 12% |
| Canada | 1 | 6% |
| Belgium | 1 | 6% |
| Spain | 1 | 6% |
| Germany | 1 | 6% |
| India | 1 | 6% |
| Comoros | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 2 | 12% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 17% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 20% |
| Biochemistry, Genetics and Molecular Biology | 16 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 9% |
| Agricultural and Biological Sciences | 8 | 8% |
| Computer Science | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 37 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 November 2020.
All research outputs
#1,553,597
of 23,124,001 outputs
Outputs from Metabolomics
#54
of 1,305 outputs
Outputs of similar age
#39,331
of 437,601 outputs
Outputs of similar age from Metabolomics
#1
of 41 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,305 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 done particularly well, scoring higher than 95% 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 437,601 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 91% 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 97% of its contemporaries.