You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
|
|---|---|
| Published in |
BMC Bioinformatics, November 2010
|
| DOI | 10.1186/1471-2105-11-559 |
| Pubmed ID | |
| Authors |
Tianwei Yu, Hesen Peng |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| India | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 78 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 16 | 20% |
| Student > Master | 7 | 9% |
| Professor | 7 | 9% |
| Student > Bachelor | 3 | 4% |
| Other | 14 | 17% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 18 | 22% |
| Agricultural and Biological Sciences | 13 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Engineering | 6 | 7% |
| Computer Science | 5 | 6% |
| Other | 12 | 15% |
| Unknown | 20 | 25% |
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 14 September 2016.
All research outputs
#18,471,305
of 22,888,307 outputs
Outputs from BMC Bioinformatics
#6,330
of 7,298 outputs
Outputs of similar age
#89,766
of 100,727 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 65 outputs
Altmetric has tracked 22,888,307 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 7,298 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 5th percentile – i.e., 5% 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 100,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.