| Title |
Assigning precursor–product ion relationships in indiscriminant MS/MS data from non-targeted metabolite profiling studies
|
|---|---|
| Published in |
Metabolomics, April 2012
|
| DOI | 10.1007/s11306-012-0426-4 |
| Authors |
Corey D. Broeckling, Adam L. Heuberger, Jonathan A. Prince, E. Ingelsson, Jessica E. Prenni |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Brazil | 1 | 1% |
| South Africa | 1 | 1% |
| Belgium | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 65 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 27% |
| Researcher | 15 | 21% |
| Student > Master | 10 | 14% |
| Professor > Associate Professor | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 33% |
| Chemistry | 15 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Environmental Science | 4 | 6% |
| Engineering | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from Metabolomics
#1,071
of 1,290 outputs
Outputs of similar age
#126,186
of 163,357 outputs
Outputs of similar age from Metabolomics
#12
of 15 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,290 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 163,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.