| Title |
Learning From Noisy Examples
|
|---|---|
| Published in |
Machine Learning, April 1988
|
| DOI | 10.1023/a:1022873112823 |
| Authors |
Dana Angluin, Philip Laird |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Switzerland | 1 | <1% |
| Slovakia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Russia | 1 | <1% |
| China | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 155 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 30% |
| Student > Master | 28 | 16% |
| Researcher | 18 | 11% |
| Student > Bachelor | 11 | 6% |
| Student > Doctoral Student | 11 | 6% |
| Other | 18 | 11% |
| Unknown | 33 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 83 | 49% |
| Engineering | 14 | 8% |
| Mathematics | 11 | 6% |
| Physics and Astronomy | 5 | 3% |
| Medicine and Dentistry | 3 | 2% |
| Other | 18 | 11% |
| Unknown | 36 | 21% |
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 18 March 2015.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Machine Learning
#896
of 1,225 outputs
Outputs of similar age
#11,943
of 12,483 outputs
Outputs of similar age from Machine Learning
#5
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 12th percentile – i.e., 12% 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 12,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.