| Title |
Open-source machine learning: R meets Weka
|
|---|---|
| Published in |
Computational Statistics, May 2008
|
| DOI | 10.1007/s00180-008-0119-7 |
| Authors |
Kurt Hornik, Christian Buchta, Achim Zeileis |
Mendeley readers
The data shown below were compiled from readership statistics for 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 2% |
| United States | 4 | 1% |
| Ireland | 2 | <1% |
| Canada | 2 | <1% |
| Australia | 2 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 293 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 25% |
| Researcher | 59 | 19% |
| Student > Master | 48 | 15% |
| Student > Doctoral Student | 19 | 6% |
| Professor > Associate Professor | 17 | 5% |
| Other | 57 | 18% |
| Unknown | 37 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 93 | 30% |
| Agricultural and Biological Sciences | 40 | 13% |
| Engineering | 31 | 10% |
| Biochemistry, Genetics and Molecular Biology | 15 | 5% |
| Social Sciences | 14 | 4% |
| Other | 71 | 23% |
| Unknown | 51 | 16% |
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 18 August 2022.
All research outputs
#5,611,796
of 25,837,817 outputs
Outputs from Computational Statistics
#35
of 231 outputs
Outputs of similar age
#19,544
of 99,168 outputs
Outputs of similar age from Computational Statistics
#1
of 2 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 231 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 82% 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 99,168 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 73% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them