| Title |
Computational mass spectrometry for metabolomics: Identification of metabolites and small molecules
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, October 2010
|
| DOI | 10.1007/s00216-010-4142-5 |
| Pubmed ID | |
| Authors |
Steffen Neumann, Sebastian Böcker |
Mendeley readers
The data shown below were compiled from readership statistics for 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 2% |
| Germany | 3 | 1% |
| Netherlands | 2 | <1% |
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| India | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 230 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 74 | 29% |
| Researcher | 62 | 25% |
| Student > Master | 25 | 10% |
| Student > Bachelor | 14 | 6% |
| Student > Doctoral Student | 13 | 5% |
| Other | 35 | 14% |
| Unknown | 29 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 27% |
| Chemistry | 63 | 25% |
| Biochemistry, Genetics and Molecular Biology | 23 | 9% |
| Computer Science | 19 | 8% |
| Environmental Science | 9 | 4% |
| Other | 24 | 10% |
| Unknown | 45 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 November 2020.
All research outputs
#3,799,086
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#457
of 9,619 outputs
Outputs of similar age
#15,202
of 108,243 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#8
of 68 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 93% 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 108,243 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 83% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.