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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The PowerAtlas: a power and sample size atlas for microarray experimental design and research
|
|---|---|
| Published in |
BMC Bioinformatics, February 2006
|
| DOI | 10.1186/1471-2105-7-84 |
| Pubmed ID | |
| Authors |
Grier P Page, Jode W Edwards, Gary L Gadbury, Prashanth Yelisetti, Jelai Wang, Prinal Trivedi, David B Allison |
| Abstract |
Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experiments is how to estimate the sample size required for good statistical power. What is the projected sample size or number of replicate chips needed to address the multiple hypotheses with acceptable accuracy? Statistical methods exist for calculating power based upon a single hypothesis, using estimates of the variability in data from pilot studies. There is, however, a need for methods to estimate power and/or required sample sizes in situations where multiple hypotheses are being tested, such as in microarray experiments. In addition, investigators frequently do not have pilot data to estimate the sample sizes required for microarray studies. |
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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| United Kingdom | 2 | 2% |
| France | 2 | 2% |
| Malaysia | 1 | 1% |
| Norway | 1 | 1% |
| Germany | 1 | 1% |
| Switzerland | 1 | 1% |
| Italy | 1 | 1% |
| Argentina | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 83 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 33% |
| Student > Ph. D. Student | 27 | 28% |
| Professor > Associate Professor | 8 | 8% |
| Student > Master | 7 | 7% |
| Other | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 45% |
| Medicine and Dentistry | 16 | 16% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Mathematics | 7 | 7% |
| Computer Science | 2 | 2% |
| Other | 13 | 13% |
| Unknown | 7 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 2015.
All research outputs
#13,127,391
of 22,660,862 outputs
Outputs from BMC Bioinformatics
#3,996
of 7,241 outputs
Outputs of similar age
#61,415
of 70,617 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 57 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,241 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 42nd percentile – i.e., 42% 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 70,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.