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Mendeley readers
Attention Score in Context
Chapter title |
A User’s Guide to Support Vector Machines
|
---|---|
Chapter number | 13 |
Book title |
Data Mining Techniques for the Life Sciences
|
Published in |
Methods in molecular biology, January 2010
|
DOI | 10.1007/978-1-60327-241-4_13 |
Pubmed ID | |
Book ISBNs |
978-1-60327-240-7, 978-1-60327-241-4
|
Authors |
Asa Ben-Hur, Jason Weston, Ben-Hur, Asa, Weston, Jason |
Mendeley readers
The data shown below were compiled from readership statistics for 866 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
United Kingdom | 6 | <1% |
Germany | 5 | <1% |
Spain | 4 | <1% |
Canada | 4 | <1% |
Brazil | 4 | <1% |
Switzerland | 3 | <1% |
France | 3 | <1% |
Netherlands | 2 | <1% |
Other | 19 | 2% |
Unknown | 803 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 191 | 22% |
Student > Master | 180 | 21% |
Student > Bachelor | 96 | 11% |
Researcher | 95 | 11% |
Student > Doctoral Student | 40 | 5% |
Other | 103 | 12% |
Unknown | 161 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 264 | 30% |
Engineering | 168 | 19% |
Agricultural and Biological Sciences | 47 | 5% |
Biochemistry, Genetics and Molecular Biology | 22 | 3% |
Medicine and Dentistry | 20 | 2% |
Other | 160 | 18% |
Unknown | 185 | 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 27 September 2022.
All research outputs
#4,862,572
of 23,414,653 outputs
Outputs from Methods in molecular biology
#1,420
of 13,324 outputs
Outputs of similar age
#27,703
of 166,564 outputs
Outputs of similar age from Methods in molecular biology
#22
of 121 outputs
Altmetric has tracked 23,414,653 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. 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 166,564 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 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.