| Title |
Fast metabolite identification with Input Output Kernel Regression
|
|---|---|
| Published in |
Bioinformatics, June 2016
|
| DOI | 10.1093/bioinformatics/btw246 |
| Pubmed ID | |
| Authors |
Céline Brouard, Huibin Shen, Kai Dührkop, Florence d'Alché-Buc, Sebastian Böcker, Juho Rousu |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Brazil | 1 | 1% |
| Unknown | 72 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 32% |
| Student > Ph. D. Student | 16 | 21% |
| Student > Master | 12 | 16% |
| Student > Postgraduate | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 23% |
| Chemistry | 12 | 16% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Computer Science | 9 | 12% |
| Medicine and Dentistry | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 15 | 20% |
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 15 June 2016.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Bioinformatics
#11,290
of 12,808 outputs
Outputs of similar age
#264,822
of 364,768 outputs
Outputs of similar age from Bioinformatics
#198
of 210 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,808 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 8th percentile – i.e., 8% 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 364,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 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.