| Title |
Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification
|
|---|---|
| Published in |
Metabolomics, June 2014
|
| DOI | 10.1007/s11306-014-0676-4 |
| Authors |
Felicity Allen, Russ Greiner, David Wishart |
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 % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 396 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 87 | 21% |
| Researcher | 64 | 16% |
| Student > Master | 58 | 14% |
| Student > Bachelor | 33 | 8% |
| Student > Doctoral Student | 25 | 6% |
| Other | 54 | 13% |
| Unknown | 86 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 101 | 25% |
| Agricultural and Biological Sciences | 74 | 18% |
| Biochemistry, Genetics and Molecular Biology | 36 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 24 | 6% |
| Computer Science | 15 | 4% |
| Other | 49 | 12% |
| Unknown | 108 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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
#3,085,101
of 25,918,104 outputs
Outputs from Metabolomics
#139
of 1,408 outputs
Outputs of similar age
#29,376
of 245,138 outputs
Outputs of similar age from Metabolomics
#5
of 29 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,408 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 90% 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 245,138 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 88% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.