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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Epistasis analysis using multifactor dimensionality reduction.
|
|---|---|
| Chapter number | 16 |
| Book title |
Epistasis
|
| Published in |
Methods in molecular biology, November 2014
|
| DOI | 10.1007/978-1-4939-2155-3_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2154-6, 978-1-4939-2155-3, 978-1-4939-2154-6, 978-1-4939-2155-3
|
| Authors |
Moore JH, Andrews PC, Jason H. Moore, Peter C. Andrews, Jason H Moore, Peter C Andrews, Moore, Jason H., Andrews, Peter C. |
| Abstract |
Here we introduce the multifactor dimensionality reduction (MDR) methodology and software package for detecting and characterizing epistasis in genetic association studies. We provide a general overview of the method and then highlight some of the key functions of the open-source MDR software package that is freely distributed. We end with a few examples of published studies of complex human diseases that have used MDR. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 31% |
| Researcher | 7 | 15% |
| Student > Master | 7 | 15% |
| Student > Doctoral Student | 4 | 8% |
| Professor > Associate Professor | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 21% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Computer Science | 7 | 15% |
| Medicine and Dentistry | 5 | 10% |
| Engineering | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 10 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 August 2020.
All research outputs
#5,595,023
of 22,775,504 outputs
Outputs from Methods in molecular biology
#1,549
of 13,091 outputs
Outputs of similar age
#76,338
of 362,089 outputs
Outputs of similar age from Methods in molecular biology
#116
of 1,033 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,091 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 88% of its peers.
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 362,089 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 1,033 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.