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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantile regression for the statistical analysis of immunological data with many non-detects
|
|---|---|
| Published in |
BMC Immunology, July 2012
|
| DOI | 10.1186/1471-2172-13-37 |
| Pubmed ID | |
| Authors |
Paul HC Eilers, Esther Röder, Huub FJ Savelkoul, Roy Gerth van Wijk |
| Abstract |
Immunological parameters are hard to measure. A well-known problem is the occurrence of values below the detection limit, the non-detects. Non-detects are a nuisance, because classical statistical analyses, like ANOVA and regression, cannot be applied. The more advanced statistical techniques currently available for the analysis of datasets with non-detects can only be used if a small percentage of the data are non-detects. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Ph. D. Student | 8 | 20% |
| Professor | 4 | 10% |
| Student > Master | 4 | 10% |
| Professor > Associate Professor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Mathematics | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Sports and Recreations | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 11 | 28% |
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 22 July 2012.
All research outputs
#17,660,193
of 22,669,724 outputs
Outputs from BMC Immunology
#374
of 588 outputs
Outputs of similar age
#122,250
of 164,530 outputs
Outputs of similar age from BMC Immunology
#13
of 15 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 588 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 29th percentile – i.e., 29% 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 164,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% 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 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.