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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Leveraging sequence classification by taxonomy-based multitask learning
|
|---|---|
| Chapter number | 34 |
| Book title |
Research in Computational Molecular Biology
|
| Published in |
ADS, April 2010
|
| DOI | 10.1007/978-3-642-12683-3_34 |
| Book ISBNs |
978-3-64-212682-6, 978-3-64-212683-3
|
| Authors |
Christian Widmer, Jose Leiva, 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 6% |
| United States | 2 | 6% |
| Japan | 2 | 6% |
| Romania | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 25 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 39% |
| Researcher | 6 | 18% |
| Student > Master | 4 | 12% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 48% |
| Agricultural and Biological Sciences | 5 | 15% |
| Engineering | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 4 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 July 2015.
All research outputs
#18,417,643
of 22,815,414 outputs
Outputs from ADS
#31,495
of 37,345 outputs
Outputs of similar age
#86,034
of 95,407 outputs
Outputs of similar age from ADS
#311
of 334 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,345 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 95,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 334 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.