| Title |
C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993
|
|---|---|
| Published in |
Machine Learning, September 1994
|
| DOI | 10.1007/bf00993309 |
| Authors |
Steven L. Salzberg |
Mendeley readers
The data shown below were compiled from readership statistics for 659 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Spain | 3 | <1% |
| Brazil | 2 | <1% |
| Netherlands | 2 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Malaysia | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 637 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 132 | 20% |
| Student > Master | 112 | 17% |
| Student > Bachelor | 52 | 8% |
| Researcher | 47 | 7% |
| Student > Doctoral Student | 38 | 6% |
| Other | 97 | 15% |
| Unknown | 181 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 223 | 34% |
| Engineering | 80 | 12% |
| Agricultural and Biological Sciences | 24 | 4% |
| Biochemistry, Genetics and Molecular Biology | 18 | 3% |
| Business, Management and Accounting | 12 | 2% |
| Other | 86 | 13% |
| Unknown | 216 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 17 August 2021.
All research outputs
#2,445,593
of 22,723,682 outputs
Outputs from Machine Learning
#62
of 952 outputs
Outputs of similar age
#715
of 21,532 outputs
Outputs of similar age from Machine Learning
#1
of 1 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 93% 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 21,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1 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