| Title |
Characterising and correcting batch variation in an automated direct infusion mass spectrometry (DIMS) metabolomics workflow
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, March 2013
|
| DOI | 10.1007/s00216-013-6856-7 |
| Pubmed ID | |
| Authors |
J. A. Kirwan, D. I. Broadhurst, R. L. Davidson, M. R. Viant |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Germany | 1 | <1% |
| Vietnam | 1 | <1% |
| Netherlands | 1 | <1% |
| Austria | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 168 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 29% |
| Researcher | 36 | 20% |
| Student > Master | 21 | 12% |
| Student > Doctoral Student | 13 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 16 | 9% |
| Unknown | 29 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 20% |
| Chemistry | 34 | 19% |
| Biochemistry, Genetics and Molecular Biology | 29 | 16% |
| Medicine and Dentistry | 11 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Other | 26 | 15% |
| Unknown | 35 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 March 2022.
All research outputs
#5,266,281
of 25,837,817 outputs
Outputs from Analytical & Bioanalytical Chemistry
#790
of 9,764 outputs
Outputs of similar age
#41,482
of 207,419 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#14
of 87 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,764 research outputs from this source. They receive a mean Attention Score of 3.2. 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 207,419 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 79% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.