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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stratification bias in low signal microarray studies
|
|---|---|
| Published in |
BMC Bioinformatics, September 2007
|
| DOI | 10.1186/1471-2105-8-326 |
| Pubmed ID | |
| Authors |
Brian J Parker, Simon Günter, Justin Bedo |
| Abstract |
When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that can substantially affect analyses using sample-reuse validation techniques and lead to inaccurate results. This bias is due to imperfect stratification of samples in the training and test sets and the dependency between these stratification errors, i.e. the variations in class proportions in the training and test sets are negatively correlated. |
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 % |
|---|---|---|
| United States | 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Australia | 2 | 2% |
| Switzerland | 1 | 1% |
| France | 1 | 1% |
| United Kingdom | 1 | 1% |
| Germany | 1 | 1% |
| China | 1 | 1% |
| Ukraine | 1 | 1% |
| Unknown | 78 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 29% |
| Researcher | 18 | 20% |
| Student > Master | 12 | 13% |
| Student > Bachelor | 6 | 7% |
| Professor | 5 | 6% |
| Other | 10 | 11% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 19% |
| Agricultural and Biological Sciences | 14 | 16% |
| Engineering | 10 | 11% |
| Medicine and Dentistry | 8 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Other | 16 | 18% |
| Unknown | 18 | 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 30 October 2013.
All research outputs
#18,353,475
of 22,729,647 outputs
Outputs from BMC Bioinformatics
#6,300
of 7,266 outputs
Outputs of similar age
#64,435
of 69,441 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 44 outputs
Altmetric has tracked 22,729,647 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 7,266 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.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.