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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Inferring Human Phenotype Networks from Genome-Wide Genetic Associations
|
|---|---|
| Chapter number | 3 |
| Book title |
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|
| Published in |
Lecture notes in computer science, April 2013
|
| DOI | 10.1007/978-3-642-37189-9_3 |
| Book ISBNs |
978-3-64-237188-2, 978-3-64-237189-9
|
| Authors |
Christian Darabos, Kinjal Desai, Richard Cowper-Sal·lari, Mario Giacobini, Britney E. Graham, Mathieu Lupien, Jason H. Moore, Richard Cowper-Sal·lari |
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 21% |
| Researcher | 3 | 21% |
| Student > Master | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 36% |
| Agricultural and Biological Sciences | 3 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Psychology | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 1 | 7% |
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 03 October 2013.
All research outputs
#18,348,542
of 22,723,682 outputs
Outputs from Lecture notes in computer science
#6,007
of 8,126 outputs
Outputs of similar age
#151,490
of 199,841 outputs
Outputs of similar age from Lecture notes in computer science
#27
of 41 outputs
Altmetric has tracked 22,723,682 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 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 199,841 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 41 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.