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Attention Score in Context
Chapter title |
Epistasis Analysis Using Information Theory
|
---|---|
Chapter number | 13 |
Book title |
Epistasis
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-2155-3_13 |
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 |
Jason H. Moore, Ting Hu, Moore JH, Hu T, Moore, Jason H., Hu, Ting |
Abstract |
Here we introduce entropy-based measures derived from information theory for detecting and characterizing epistasis in genetic association studies. We provide a general overview of the methods and highlight some of the modifications that have greatly improved its power for genetic analysis. We end with a few published studies of complex human diseases that have used these measures. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 6% |
Unknown | 17 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 28% |
Researcher | 4 | 22% |
Student > Master | 4 | 22% |
Student > Doctoral Student | 1 | 6% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Business, Management and Accounting | 1 | 6% |
Computer Science | 1 | 6% |
Other | 3 | 17% |
Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 May 2017.
All research outputs
#6,226,706
of 22,774,233 outputs
Outputs from Methods in molecular biology
#1,855
of 13,091 outputs
Outputs of similar age
#84,894
of 352,928 outputs
Outputs of similar age from Methods in molecular biology
#140
of 996 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 85% 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 352,928 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 75% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.