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Mendeley readers
Attention Score in Context
Chapter title |
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
|
---|---|
Chapter number | 8 |
Book title |
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|
Published in |
Lecture notes in computer science, April 2009
|
DOI | 10.1007/978-3-642-01184-9_8 |
Book ISBNs |
978-3-64-201183-2, 978-3-64-201184-9
|
Authors |
Stephen D. Turner, Marylyn D. Ritchie, William S. Bush |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 11% |
Italy | 1 | 4% |
Malaysia | 1 | 4% |
United Kingdom | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 20 | 74% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 22% |
Student > Doctoral Student | 4 | 15% |
Student > Master | 4 | 15% |
Professor > Associate Professor | 4 | 15% |
Researcher | 4 | 15% |
Other | 4 | 15% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 44% |
Agricultural and Biological Sciences | 6 | 22% |
Engineering | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Other | 3 | 11% |
Unknown | 2 | 7% |
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 27 March 2013.
All research outputs
#5,716,386
of 22,703,044 outputs
Outputs from Lecture notes in computer science
#1,872
of 8,124 outputs
Outputs of similar age
#26,880
of 93,678 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 21 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 76% 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 93,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.