| Title |
Large-scale kernel methods for independence testing
|
|---|---|
| Published in |
Statistics and Computing, January 2017
|
| DOI | 10.1007/s11222-016-9721-7 |
| Authors |
Qinyi Zhang, Sarah Filippi, Arthur Gretton, Dino Sejdinovic |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 33% |
| Researcher | 10 | 17% |
| Student > Master | 9 | 15% |
| Student > Doctoral Student | 4 | 7% |
| Professor | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 17 | 28% |
| Computer Science | 17 | 28% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Economics, Econometrics and Finance | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 12 | 20% |
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 29 June 2016.
All research outputs
#2,333,985
of 23,314,015 outputs
Outputs from Statistics and Computing
#26
of 524 outputs
Outputs of similar age
#50,683
of 420,799 outputs
Outputs of similar age from Statistics and Computing
#1
of 9 outputs
Altmetric has tracked 23,314,015 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 524 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 420,799 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 87% of its contemporaries.
We're also able to compare this research output to 9 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