| Title |
In silico fragmentation for computer assisted identification of metabolite mass spectra
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-148 |
| Pubmed ID | |
| Authors |
Sebastian Wolf, Stephan Schmidt, Matthias Müller-Hannemann, Steffen Neumann |
| Abstract |
Mass spectrometry has become the analytical method of choice in metabolomics research. The identification of unknown compounds is the main bottleneck. In addition to the precursor mass, tandem MS spectra carry informative fragment peaks, but the coverage of spectral libraries of measured reference compounds are far from covering the complete chemical space. Compound libraries such as PubChem or KEGG describe a larger number of compounds, which can be used to compare their in silico fragmentation with spectra of unknown metabolites. |
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 % |
|---|---|---|
| Germany | 1 | 20% |
| France | 1 | 20% |
| New Zealand | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 541 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 7 | 1% |
| United States | 7 | 1% |
| Netherlands | 3 | <1% |
| Switzerland | 3 | <1% |
| Brazil | 2 | <1% |
| South Africa | 2 | <1% |
| Denmark | 2 | <1% |
| United Kingdom | 2 | <1% |
| Canada | 1 | <1% |
| Other | 6 | 1% |
| Unknown | 506 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 139 | 26% |
| Researcher | 110 | 20% |
| Student > Master | 65 | 12% |
| Student > Bachelor | 39 | 7% |
| Student > Doctoral Student | 25 | 5% |
| Other | 80 | 15% |
| Unknown | 83 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 129 | 24% |
| Agricultural and Biological Sciences | 110 | 20% |
| Biochemistry, Genetics and Molecular Biology | 52 | 10% |
| Environmental Science | 32 | 6% |
| Computer Science | 31 | 6% |
| Other | 75 | 14% |
| Unknown | 112 | 21% |
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 02 April 2024.
All research outputs
#1,824,533
of 25,918,104 outputs
Outputs from BMC Bioinformatics
#333
of 7,781 outputs
Outputs of similar age
#6,313
of 106,501 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 62 outputs
Altmetric has tracked 25,918,104 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 7,781 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 106,501 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 94% of its contemporaries.
We're also able to compare this research output to 62 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 93% of its contemporaries.