| Title |
Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'
|
|---|---|
| Published in |
BMC Bioinformatics, July 2009
|
| DOI | 10.1186/1471-2105-10-227 |
| Pubmed ID | |
| Authors |
John Draper, David P Enot, David Parker, Manfred Beckmann, Stuart Snowdon, Wanchang Lin, Hassan Zubair |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 2% |
| Switzerland | 2 | 1% |
| Austria | 2 | 1% |
| Brazil | 2 | 1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| Finland | 1 | <1% |
| India | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 148 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 30% |
| Student > Ph. D. Student | 38 | 23% |
| Student > Master | 13 | 8% |
| Student > Doctoral Student | 12 | 7% |
| Student > Bachelor | 9 | 5% |
| Other | 26 | 16% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 32% |
| Chemistry | 31 | 19% |
| Biochemistry, Genetics and Molecular Biology | 25 | 15% |
| Medicine and Dentistry | 12 | 7% |
| Computer Science | 9 | 5% |
| Other | 17 | 10% |
| Unknown | 19 | 11% |
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 25 January 2022.
All research outputs
#3,557,769
of 22,979,862 outputs
Outputs from BMC Bioinformatics
#1,227
of 7,308 outputs
Outputs of similar age
#12,736
of 111,364 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 32 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,308 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 well, scoring higher than 82% 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 111,364 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 85% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.