| Title |
gBoost: a mathematical programming approach to graph classification and regression
|
|---|---|
| Published in |
Machine Learning, November 2008
|
| DOI | 10.1007/s10994-008-5089-z |
| Authors |
Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| China | 2 | 2% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Japan | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 93 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 35% |
| Researcher | 20 | 19% |
| Student > Master | 8 | 8% |
| Professor > Associate Professor | 7 | 7% |
| Professor | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 57 | 54% |
| Engineering | 11 | 10% |
| Agricultural and Biological Sciences | 8 | 8% |
| Chemistry | 4 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 May 2014.
All research outputs
#7,447,530
of 22,768,097 outputs
Outputs from Machine Learning
#281
of 955 outputs
Outputs of similar age
#31,276
of 88,945 outputs
Outputs of similar age from Machine Learning
#2
of 3 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 955 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 52% 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 88,945 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.