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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring latent task structure for Multitask Learning by Multiple Kernel Learning
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-s8-s5 |
| Pubmed ID | |
| Authors |
Christian Widmer, Nora C Toussaint, Yasemin Altun, Gunnar Rätsch |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Romania | 1 | 2% |
| Australia | 1 | 2% |
| Japan | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 51 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 29% |
| Researcher | 7 | 12% |
| Student > Master | 7 | 12% |
| Professor > Associate Professor | 5 | 9% |
| Other | 5 | 9% |
| Other | 11 | 19% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 36% |
| Agricultural and Biological Sciences | 6 | 10% |
| Chemistry | 5 | 9% |
| Engineering | 5 | 9% |
| Medicine and Dentistry | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 April 2024.
All research outputs
#8,118,028
of 25,784,004 outputs
Outputs from BMC Bioinformatics
#2,911
of 7,746 outputs
Outputs of similar age
#37,862
of 109,709 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 59 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,746 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 60% 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 109,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.