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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Biologically Informed Method for Detecting Associations with Rare Variants
|
|---|---|
| Chapter number | 18 |
| Book title |
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-29066-4_18 |
| Book ISBNs |
978-3-64-229065-7, 978-3-64-229066-4
|
| Authors |
Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric S. Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie |
| Editors |
Mario Giacobini, Leonardo Vanneschi, William S. Bush |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
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 % |
|---|---|---|
| Ireland | 1 | 6% |
| Italy | 1 | 6% |
| Cuba | 1 | 6% |
| United Kingdom | 1 | 6% |
| Malta | 1 | 6% |
| Unknown | 13 | 72% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 33% |
| Student > Master | 3 | 17% |
| Other | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Lecturer | 1 | 6% |
| Other | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 50% |
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Agricultural and Biological Sciences | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Unknown | 2 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 April 2012.
All research outputs
#3,954,355
of 22,664,267 outputs
Outputs from Lecture notes in computer science
#938
of 8,123 outputs
Outputs of similar age
#34,023
of 244,051 outputs
Outputs of similar age from Lecture notes in computer science
#63
of 490 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. 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 244,051 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 86% of its contemporaries.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.