| Title |
A theory of learning from different domains
|
|---|---|
| Published in |
Machine Learning, October 2009
|
| DOI | 10.1007/s10994-009-5152-4 |
| Authors |
Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,368 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 8 | <1% |
| United States | 7 | <1% |
| France | 4 | <1% |
| Japan | 4 | <1% |
| India | 3 | <1% |
| Singapore | 2 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Austria | 1 | <1% |
| Other | 11 | <1% |
| Unknown | 1326 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 357 | 26% |
| Student > Master | 240 | 18% |
| Researcher | 137 | 10% |
| Student > Bachelor | 102 | 7% |
| Student > Doctoral Student | 49 | 4% |
| Other | 147 | 11% |
| Unknown | 336 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 625 | 46% |
| Engineering | 179 | 13% |
| Mathematics | 36 | 3% |
| Physics and Astronomy | 17 | 1% |
| Agricultural and Biological Sciences | 17 | 1% |
| Other | 110 | 8% |
| Unknown | 384 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 05 September 2023.
All research outputs
#2,541,312
of 25,837,817 outputs
Outputs from Machine Learning
#63
of 1,266 outputs
Outputs of similar age
#8,594
of 110,218 outputs
Outputs of similar age from Machine Learning
#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 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,266 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 94% 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 110,218 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 92% 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