| Title |
From machine learning to machine reasoning
|
|---|---|
| Published in |
Machine Learning, April 2013
|
| DOI | 10.1007/s10994-013-5335-x |
| Authors |
Léon Bottou |
X Demographics
The data shown below were collected from the profiles of 17 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 | 5 | 29% |
| Ireland | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| Finland | 1 | 6% |
| United Kingdom | 1 | 6% |
| India | 1 | 6% |
| France | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 76% |
| Scientists | 3 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,088 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 1% |
| United Kingdom | 9 | <1% |
| France | 5 | <1% |
| Germany | 3 | <1% |
| India | 3 | <1% |
| Brazil | 3 | <1% |
| Mexico | 3 | <1% |
| Australia | 2 | <1% |
| Turkey | 2 | <1% |
| Other | 25 | 2% |
| Unknown | 1021 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 285 | 26% |
| Student > Master | 189 | 17% |
| Researcher | 182 | 17% |
| Student > Bachelor | 87 | 8% |
| Other | 59 | 5% |
| Other | 154 | 14% |
| Unknown | 132 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 586 | 54% |
| Engineering | 118 | 11% |
| Mathematics | 35 | 3% |
| Physics and Astronomy | 31 | 3% |
| Agricultural and Biological Sciences | 24 | 2% |
| Other | 123 | 11% |
| Unknown | 171 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 August 2023.
All research outputs
#4,189,053
of 25,770,491 outputs
Outputs from Machine Learning
#113
of 1,265 outputs
Outputs of similar age
#33,932
of 213,448 outputs
Outputs of similar age from Machine Learning
#2
of 19 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,265 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 91% 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 213,448 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 84% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.