| Title |
Improved metabolite identification with MIDAS and MAGMa through MS/MS spectral dataset-driven parameter optimization
|
|---|---|
| Published in |
Metabolomics, April 2016
|
| DOI | 10.1007/s11306-016-1036-3 |
| Authors |
Dries Verdegem, Diether Lambrechts, Peter Carmeliet, Bart Ghesquière |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Switzerland | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 53 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Researcher | 12 | 20% |
| Professor | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 10 | 17% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Chemistry | 8 | 14% |
| Computer Science | 5 | 8% |
| Engineering | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 14 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 October 2016.
All research outputs
#7,148,744
of 23,344,526 outputs
Outputs from Metabolomics
#428
of 1,309 outputs
Outputs of similar age
#99,710
of 300,293 outputs
Outputs of similar age from Metabolomics
#10
of 33 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,309 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 gotten more attention than average, scoring higher than 65% 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 300,293 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 33 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 72% of its contemporaries.